yusuke1997/dblp-id-title huggingface dataset:
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
A Model of Learning by Incremental Analogical Reasoning and Debugging
Model-Based Interpretation of Range Imagery
Video Recovery via Learning Variation and Consistency of Images
Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection
An LLM-Guided Tutoring System for Social Skills Training
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders
High-Dimensional Dueling Optimization with Preference Embedding
Learning Joint Behaviors with Large Variations
Agent-Based Cooperative Scheduling
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models
Making High-Performance Robots Safe and Easy to Use For an Introduction to Computing
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
Gaussian Mixture Model with Local Consistency
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data
Filtering Decomposable Global Cost Functions
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search
FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection
Improving Domain-Independent Planning via Critical Section Macro-Operators
Induction of Subgoal Automata for Reinforcement Learning
Supporting Feedback and Assessment of Digital Ink Answers to In-Class Exercises
PAC Learning and Stabilizing Hedonic Games: Towards a Unifying Approach
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features
Uncertainty-Aware GAN for Single Image Super Resolution
Literal Meaning and the Comprehension of Metaphors
Overview of an Example Generation System
Intelligence in Wikipedia
Weakly Supervised Salient Object Detection Using Image Labels
Automated Cognitive Modeling
Contrastive Transformation for Self-supervised Correspondence Learning
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Tensorized Label Learning Based Fast Fuzzy Clustering
AGNESS: A Generalized Network-based Expert System Shell
How Bad Is Selfish Voting?
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
Matching State-Based Sequences with Rich Temporal Aspects
Golem Chesster: Autonomous Manipulation for Human-Robot Chess
Using Machine Learning and Urine Cytology for Bladder Cancer Prescreening and Patient Stratification
Towards Cognitive Automation of Data Science
Question-Driven Purchasing Propensity Analysis for Recommendation
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory
Matching with Dynamic Ordinal Preferences
ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition
Answering Regular Path Queries Under Approximate Semantics in Lightweight Description Logics
P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence
Computationally Tractable Riemannian Manifolds for Graph Embeddings
Detecting Music Performance Errors with Transformers
Code-switching Mediated Sentence-level Semantic Learning
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
On Capturing Semantics in Ontology Mapping
AI-Enhanced Art Appreciation: Generating Text from Artwork to Promote Inclusivity
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
FRIDAYS: A Financial Risk Information Detecting and Analyzing System
Audio Sentiment Analysis by Heterogeneous Signal Features Learned from Utterance-Based Parallel Neural Network
Evaluating Resistance to False-Name Manipulations in Elections
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense
Multi-Valued Logics
GSMDPs for Multi-Robot Sequential Decision-Making
Shape-Pose Ambiguity in Learning 3D Reconstruction from Images
Learning to Learn Morphological Inflection for Resource-Poor Languages
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Parameterized Projected Bellman Operator
Label Enhancement with Sample Correlations via Low-Rank Representation
Understanding GenAI for Teaching and Learning in Secondary Classrooms
Exploiting Path Refinement Abstraction in Domain Transition Graphs
Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning
D-vlog: Multimodal Vlog Dataset for Depression Detection
Restricted Bayes Optimal Classifiers
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Qualitative Modeling in the Turbojet Engine Domain
Recent Developments in NIKL
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
Proximal Distilled Evolutionary Reinforcement Learning
A Framework for Data-Driven Explainability in Mathematical Optimization
Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition
Heuristic Planning for Hybrid Systems
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
Logic-Based Sequential Decision-Making
Chinese Relation Extraction by Multiple Instance Learning
Boundary-Aware Temporal Dynamic Pseudo-Supervision Pairs Generation for Zero-Shot Natural Language Video Localization
Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss
Forecasting Potential Diabetes Complications
Conditional Syntax Splitting for Non-monotonic Inference Operators
Balanced Open Set Domain Adaptation via Centroid Alignment
3D Volumetric Modeling with Introspective Neural Networks
On Quality Control and Machine Learning in Crowdsourcing
Functional Connectomes of Neural Networks
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Gradient-Based Graph Attention for Scene Text Image Super-resolution
CD-UAP: Class Discriminative Universal Adversarial Perturbation
Incorporating Behavioral Constraints in Online AI Systems
Value-Decomposition Multi-Agent Actor-Critics
Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup
Cognitively-Grounded Procedural Content Generation
MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
Learning to Count via Unbalanced Optimal Transport
3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands
Reasoning in the Description Logic BEL Using Bayesian Networks
Epistemic EFX Allocations Exist for Monotone Valuations
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract)
Lazier Than Lazy Greedy
Exploiting Emotion on Reviews for Recommender Systems
GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
Agent Amplified Communication
PMAC: Personalized Multi-Agent Communication
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD
Mining and Re-ranking for Answering Biographical Queries on the Web
Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation
Making Searchable Melodies: Human versus Machine
Learning to Evolve on Dynamic Graphs (Student Abstract)
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce
Progressive Cognitive Human Parsing
A Limitation of the Generalized Vickrey Auction in Electronic Commerce: Robustness against False-name Bids
Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions
Multi-Level Compositional Reasoning for Interactive Instruction Following
Teaching Constraint Programming Using Fable-Based Learning
A Motivational System for Regulating Human-Robot Interaction
WIP: The Automatic Synthesis of Multimodal Presentations
Metric Learning Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking
P-CLASSIC: A Tractable Probablistic Description Logic
Discovery of Equations: Experimental Evaluation of Convergence
An Average-Case Analysis of Branch-and-Bound with Applications: Summary of Results
Multiclass Capped ℓp-Norm SVM for Robust Classifications
Partonomic Reasoning as Taxonomic Reasoning in Medicine
Probabilistic Shape Models of Anatomy Directly from Images
Towards Exploiting Duality in Approximate Linear Programming for MDPs
Objective-Based Hierarchical Clustering of Deep Embedding Vectors
"420 Friendly": Revealing Marijuana Use via Craigslist Rental Ads
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
TREE-G: Decision Trees Contesting Graph Neural Networks
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
On the Parallel Complexity of Some Constraint Satisfaction Problems
How to Cope With Anomalies in Parallel Approximate Branch-and-Bound Algorithms
Turning Web Text and Search Queries into Factual Knowledge: Hierarchical Class Attribute Extraction
Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests
Numerical Optimization to AI, and Back
Online Clustering of Contextual Cascading Bandits
Constant-Factor Distortion Mechanisms for k-Committee Election
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering
A Regression Based Adaptation Strategy for Case-Based Reasoning
Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation
DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)
Quasi-Perfect Stackelberg Equilibrium
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
Learning Only When It Matters: Cost-Aware Long-Tailed Classification
V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning
Learning Complicated Concepts Reliably and Usefully
Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market
Genotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task
Occluded Person Re-identification via Saliency-Guided Patch Transfer
A Comparison of Action-Based Hierarchies and Decision Trees for Real-Time Performance
Object Instance Mining for Weakly Supervised Object Detection
Cyc and the Big C: Reading that Produces and Uses Hypotheses about Complex Molecular Biology Mechanisms
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models
Misspecified Linear Bandits
A New Perspective of Trust Through Multi-Attribute Auctions
Enhancing Scientific Papers Summarization with Citation Graph
Out-of-Distribution Detection Is Not All You Need
Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
Submodel Enumeration for CTL Is Hard
Improving Cost-Optimal Domain-Independent Symbolic Planning
Automatic Generation of Object Class Descriptions Using Symbolic Learning Techniques
Detecting Runways in Aerial Images
SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
An Optimal Task Assignment Policy and Performance Diagnosis Strategy for Heterogeneous Hadoop Cluster
Private Bayesian Persuasion with Sequential Games
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation
From Width-Based Model Checking to Width-Based Automated Theorem Proving
Decompositional Modeling through Caricatural Reasoning
A Dialogue System with Digression Handling-An Ontology-Based Approach
Algorithms for Generalized Topic Modeling
Machine Learning for Computational Psychology
A Mouse-Trajectory Based Model for Predicting Query-URL Relevance
A Two-stage Multi-modal Affect Analysis Framework for Children with Autism Spectrum Disorder
Understanding Persuasion Cascades in Online Product Rating Systems
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion
Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019
A Logic for Revision and Subjunctive Queries
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models
Multimodal Promptable Token Merging for Diffusion Models
Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?
Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning
Deterministic Value-Policy Gradients
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Tabu Search Techniques for Large High-School Timetabling Problems
Model-Based Sensor Diagnosis: When Monitoring Should Be Monitored
Learning Physics Informed Neural ODEs with Partial Measurements
Commitment to Sparse Strategies in Two-Player Games
Coupled Dictionary Learning for Unsupervised Feature Selection
Conference Committees
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
Doing Time: Putting Qualitative Reasoning on Firmer Ground
Building Conversational Artifacts to Enable Digital Assistant for APIs and RPAs
Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking
Modelling Ethical Theories Compactly
SCoT: A Spoken Conversational Tutor
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
HEAL: A Knowledge Graph for Distress Management Conversations
Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract)
Generalization with Taxonomic Information
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Generating Plans in Concurrent, Probabilistic, Over-Subscribed Domains
Multi-Agent Motion Planning for Differential Drive Robots Through Stationary State Search
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning
Near-Neighbor Methods in Random Preference Completion
Closing the Gap Between Short and Long XORs for Model Counting
Interactive Script Instantiation
Double Auction on Diffusion Network
Generating Hard Satisfiable Formulas by Hiding Solutions Deceptively
Memory Efficient Matting with Adaptive Token Routing
Variational Inference for Nonparametric Bayesian Quantile Regression
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
Learning Adaptive Game Soundtrack Control
Optimal Coalition Structure Generation in Cooperative Graph Games
SSAST: Self-Supervised Audio Spectrogram Transformer
Neural Machine Translation with Adequacy-Oriented Learning
Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment
Converse, Focus and Guess - Towards Multi-Document Driven Dialogue
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)
DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards
Budget Feasible Mechanisms Over Graphs
Adding Time and Intervals to Procedural and Hierarchical Control Specifications
Predicting Mining Industry Accidents with a Multitask Learning Approach
Information Routing Using a Corpus Distribution
PoseHD: Boosting Human Detectors Using Human Pose Information
ISCS-A Tool Kit for Constructing Knowledge-based System Configurators
Breaking More Composition Symmetries Using Search Heuristics
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning
Topological Machine Learning Methods for Power System Responses to Contingencies
Nonparametric Scoring Rules
A Generalizable Anomaly Detection Method in Dynamic Graphs
Constrained NMF-Based Multi-View Clustering on Unmapped Data
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
Discriminant Laplacian Embedding
A System Which Uses Examples to Learn VLSI Structure Manipulations
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning
Insertions Using Geometric Analysis and Hybrid Force-Position Control on a PUMA 560 with VAL II
American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract)
Perception for General-purpose Robot Manipulation
Extending the Classification Paradigm to Temporal Domains
TD-DeltaPi: A Model-Free Algorithm for Efficient Exploration
Approximate Inference for Clusters in Solution Spaces
Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Turbine Engine Diagnostics (TED): An Expert Diagnostic System for the M1 Abrams Turbine Engine
Understanding Dominant Factors for Precipitation over the Great Lakes Region
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay
Automata Cascades: Expressivity and Sample Complexity
Monte Carlo Go Has a Way to Go
Solving Explainability Queries with Quantification: The Case of Feature Relevancy
How Do Your Friends on Social Media Disclose Your Emotions?
SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training
Minimal Mental Models
Enhancing Adversarial Transferability with Adversarial Weight Tuning
Postponing Threats in Partial-Order Planning
Ethically Compliant Sequential Decision Making
Efficient Dynamic Batch Adaptation (Student Abstract)
Exploiting Algebraic Structure in Parallel State Space Search
Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
Accelerated Best-First Search With Upper-Bound Computation for Submodular Function Maximization
Table Extraction Using Spatial Reasoning on the CSS2 Visual Box Model
Fused Feature Representation Discovery for High-Dimensional and Sparse Data
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract)
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
Attentive Eraser: Unleashing Diffusion Model's Object Removal Potential via Self-Attention Redirection Guidance
Handling Slice Permutations Variability in Tensor Recovery
Learning Prediction Intervals for Model Performance
The Design of Illustrated Documents as a Planning Task
A Formal Metareasoning Model of Concurrent Planning and Execution
Task Transfer by Preference-Based Cost Learning
Optimal Envy-Free Cake Cutting
Modeling Progress in AI
SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
Unified Hardware and Software Models for Smart System Design
MFPCA: Multiscale Functional Principal Component Analysis
Adversarial Robustness in Multi-Task Learning: Promises and Illusions
Elaboration Tolerance of Logical Theories
MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students
Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens
Robust Operative Diagnosis as Problem Solving in a Hypothesis Space
Polynomially Decomposable Global Cost Functions in Weighted Constraint Satisfaction
The Automatic Computer Scientist
Making Argumentation More Believable
Image Cropping with Composition and Saliency Aware Aesthetic Score Map
Cost-Optimal External Planning
General Transportability - Synthesizing Observations and Experiments from Heterogeneous Domains
SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next
Externally Supported Models for Efficient Computation of Paracoherent Answer Sets
Integrating Overlapping Datasets Using Bivariate Causal Discovery
Finding Diverse Trees, Paths, and More
Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), Virtual Event, Vancouver, Canada, February 27, 2022
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution
Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure
Collaborative, Dynamic and Diversified User Profiling
Secure and Automated Enterprise Revenue Forecasting
GTPA: A Generative Model For Online Mentor-Apprentice Networks
Learning Actions and Action Verbs from Human-Agent Interaction
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO
A Formal Hybrid Modeling Scheme for Handling Discontinuities in Physical System Models
The Linearization of Belief Propagation on Pairwise Markov Random Fields
Capabilities in Heterogeneous Multi-Robot Systems
Amnesiac Machine Learning
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Heterogeneous Facility Location with Limited Resources
Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification
Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks