yusuke1997/dblp-id-title huggingface dataset:
An Argumentation Framework for Qualitative Multi-criteria Preferences
Extending Social Abstract Argumentation with Votes on Attacks
The Formal Argumentation Libraries of Tweety
Revisiting Abstract Argumentation Frameworks
Argumentation-based Normative Practical Reasoning
Multi-sorted Argumentation
On the Maximal and Average Numbers of Stable Extensions
Non-Monotonic Inference Properties for Assumption-Based Argumentation
Computing with Infinite Argumentation Frameworks: The Case of AFRAs
Decision Making with Assumption-Based Argumentation
Towards a General Framework for Dialogues That Accommodate Reasoning About Preferences
Computing Preferred Labellings by Exploiting SCCs and Most Sceptically Rejected Arguments
EqArgSolver - System Description
A Discussion Game for Grounded Semantics
An Investigation of Argumentation Framework Characteristics
Extended Explanatory Argumentation Frameworks
Argument Schemes for Normative Practical Reasoning
A Forward Propagation Algorithm for the Computation of the Semantics of Argumentation Frameworks
Theory and Applications of Formal Argumentation - 4th International Workshop, TAFA 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers
Comparing and Integrating Argumentation-Based with Matrix-Based Decision Support in Arg&Dec
Probabilities on Extensions in Abstract Argumentation
A Normal Form for Argumentation Frameworks
Reasons and Options for Updating an Opponent Model in Persuasion Dialogues
On the Links Between Argumentation-Based Reasoning and Nonmonotonic Reasoning
Theory and Applications of Formal Argumentation - Third International Workshop, TAFA 2015, Buenos Aires, Argentina, July 25-26, 2015, Revised Selected Papers
Abstract Solvers for Dung's Argumentation Frameworks
Arguments over Co-operative Plans
ASPIC-END: Structured Argumentation with Explanations and Natural Deduction
An Empirical Study of a Deliberation Dialogue System
Secure Queryable Dynamic Graphs using Blockchain
Securing Big Data in the Age of AI
Can pre-trained Transformers be used in detecting complex sensitive sentences? - A Monsanto case study
The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias
Supporting Pandemic Preparedness with Privacy Enhancing Technology
SERS: A Security-Related and Evidence-Based Ranking Scheme for Mobile Apps
Towards Inclusive Cybersecurity: Protecting the Vulnerable with Social Cyber Vulnerability Metrics
Quantitative Risk Analysis with Qualitative Statements
Unsupervised Approach for Electricity Theft Detection Combining Recurrent Neural Networks and Rule-Based Policy
Deep Transfer Learning for Physical Layer Security in Wireless Communication Systems
Adversarial Deception in Deep Learning: Analysis and Mitigation
Homomorphic Encryption Reference Model for Mobile Cyber Physical Systems
Distributed, Privacy-Aware Location Data Aggregation
Conference Tutorial: Can federated learning solve our data privacy problems? State of the art and open challenges
A Privacy-Preserving Cyber Threat Intelligence Sharing System
A Framework for Privacy-Preserving Genomic Data Analysis Using Trusted Execution Environments
Resource-Efficient and Data Type-Aware Authentication Protocol for Internet of Things Systems
MnemoSys: A Conditional Probability Estimation Protocol for Blockchain Audited Reputation Management
Adaptive Control for Security and Resilience of Networked Cyber-Physical Systems: Where Are We?
Resiliency Graphs: Modelling the Interplay between Cyber Attacks and System Failures through AI Planning
A Blockchain-Enabled Approach to Cross-Border Compliance and Trust
Preserving Location Privacy in the Modern Era of Pervasive Environments
Secure and Efficient Privacy-preserving Authentication Scheme using Cuckoo Filter in Remote Patient Monitoring Network
Improved Ethereum Fraud Detection Mechanism with Explainable Tabular Transformer Model
6th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, TPS-ISA 2024, Washington, DC, USA, October 28-31, 2024
Large Language Models for Hardware Security (Invited, Short Paper)
Web 3.0 and The Ownership of Learning
4th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, TPS-ISA 2022, Atlanta, GA, USA, December 14-17, 2022
Envisioning a Cyber-Security Incident Managed Campus Environment
Utility-Optimized Synthesis of Differentially Private Location Traces
3rd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2021, Atlanta, GA, USA, December 13-15, 2021
Organizational Influence on Supply Chain for Digital Energy Infrastructure: Business Models, and Policy Landscape
Patient-Centered and Practical Privacy to Support AI for Healthcare
Scenario-Driven Device-to-Device Access Control in Smart Home IoT
Study of Attacks on the HHL Quantum Algorithm
DDoS Detection Systems for Cloud Data Storage
Resilient Federated Learning Using Trimmed-Clipping Aggregation
Secure Real-Time Heterogeneous IoT Data Management System
Redistricting using Blockchain Network
Security Challenges in the Container Cloud
Distributed Cyber-infrastructures and Artificial Intelligence in Hybrid Post-Quantum Era
Provably Secure and Optimal Inter-Satellite Link Authentication for Low Orbit Satellites
A Comprehensive Analysis of Trust, Privacy, and Security Measures in the Digital Age
Harvesting Security: A Semantically Enriched Access Control Architecture for Smart Farms
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
A Method of Constructing Malware Classification Dataset Using Clustering
Large Language Models to Enhance Malware Detection in Edge Computing
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives
Resilient and Verifiable Federated Learning against Byzantine Colluding Attacks
Data Security and Malware Detection in Cloud Storage Services
Modeling Multi-Layer Access Control Policies of a Hyperledger-Fabric-Based Agriculture Supply Chain
A Model for the Administration of Access Control in Software Defined Networking using Custom Permissions
Quantum Adversarial Machine Learning: Status, Challenges and Perspectives
SR2ACM: A Methodical Approach for Translating Natural Language Security Requirements to Access Control Model
Probing Robustness of In-context Learning in LLM Classification Predictions Under Label Noise
Can't Understand SLAs? Use the Smart Contract
A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods
Pitfalls of Generic Large Language Models (GLLMs) from reliability and security perspectives
Safety and Consistency of Mutable Attributes Using Quotas: A Formal Analysis
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems
Similarities and Learnings from Ancient Literature on Blockchain Consensus and Integrity
Towards Assessing Integrated Differential Privacy and Fairness Mechanisms in Supervised Learning
Accountable AI for Healthcare IoT Systems
Beyond Basic Trust: Envisioning the Future of NextGen Networked Systems and Digital Signatures
Towards Dynamic Access Control for Privacy
Design Challenges for Scam Prevention Tools to Protect Neurodiverse and Older Adult Populations
MultiModal Deception Detection: Accuracy, Applicability and Generalizability
Utility-Privacy Aware Mobile Diminished Reality Framework for 3D Visual Privacy
AuthN-AuthZ: Integrated, User-Friendly and Privacy-Preserving Authentication and Authorization
Simulation of Quantum Homomorphic Encryption: Demonstration and Analysis
Defensive Priorities in Securing Space-Based Infrastructure Dependencies
Secured Data Movement Using Data Ring Fencing
Federated Learning in Practice: Reflections and Projections
Fides: Distributed Cyber-Physical Contracts
A Modern Implementation of System Call Sequence Based Host-based Intrusion Detection Systems
Privacy-Preserving Oriented Design for Multi-Modality Models using FL
Paradigm Shift from Paper Contracts to Smart Contracts
ZCube: A Zero-Trust, Zero-Knowledge, and Zero-Memory Platform for Privacy and yet Secured Access
[Short Paper] Forensic Analysis of Indirect Prompt Injection Attacks on LLM Agents
imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks
Centering Policy and Practice: Research Gaps Around Usable Differential Privacy
Securing social media for seniors from information attacks: Modeling, detecting, intervening, and communicating risks
Trust, Privacy and Security Aspects of Bias and Fairness in Machine Learning
Pragmatic Obfuscation of Factoring in Hamiltonian Simulation and Ground State Estimation
Central Attribute Authority (CAA): A Vision for Seamless Sharing of Organizational Resources
Blockchain Technology: A case study in supply chain management
Towards efficient and secure quantum-classical communication networks
Constraints Visualization and Specification for Activity-centric Access Control
BobGAT: Towards Inferring Software Bill of Behavior with Pre-Trained Graph Attention Networks
Entangling Intelligence: AI-Quantum Crossovers and Perspectives
The Dark Side of the Metaverse: Why is it Falling Short of Expectations?
Malware Containment in Cloud
Privacy in the Era of 5G, IoT, Big Data and Machine Learning
Bridging the Legal Divide: Contractual Enforceability and Acceptability in the AI-Driven Automated Conversion of Smart Legal Contracts
Design and Implementation of Privacy-Preserving, Flexible and Scalable Role-Based Hierarchical Access Control
Access Control Enforcement in IoT: state of the art and open challenges in the Zero Trust era
Auditing Metaverse Requires Multimodal Deep Learning
5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2023, Atlanta, GA, USA, November 1-4, 2023
Learnable Image Transformations for Privacy Enhanced Deep Neural Networks
Advancing Spacecraft Security Through Anomaly Detection
PrivacySphere: Privacy-Preserving Smart Spaces
MAFIA: Multi-layered Architecture For IoT-based Authentication
Beta Poisoning Attacks Against Machine Learning Models: Extensions, Limitations and Defenses
Digital Evidence Chain of Custody: Navigating New Realities of Digital Forensics
Leveraging Multimodal Retrieval-Augmented Generation for Cyber Attack Detection in Transit Systems
Towards Neuro-Symbolic AI for Assured and Trustworthy Human-Autonomy Teaming
Towards Assisted Autonomy for Supply Chain Compliance Management
Weaponizing IoT Sensors: When Table Choice Poses a Security Vulnerability
Secure Multimedia Data Systems in the Era of Artificial Intelligence: Significant Progress and Vision for the Future
Understanding Model Extraction Games
An Intelligent Behavior-Based Ransomware Detection System For Android Platform
Data Siphoning Across Borders: The Role of Internet Tracking
Enabling Location Based Services with Privacy and Integrity Protection in Untrusted Environments through Blockchain and Secure Computation
Maintaining Privacy and Utility in IoT System Analytics
Machine Learning and Recognition of User Tasks for Malware Detection
PrivComp-KG: Leveraging KG and LLM for Compliance Verification
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum
Performance Analysis of Homomorphically-Encrypted Heterogeneous Multi-Layer Graph Databases
The Evolving Path of "the Right to Be Left Alone" - When Privacy Meets Technology
Feature Reduction through Data Preprocessing for Intrusion Detection in IoT Networks
Deception for Cyber Defence: Challenges and Opportunities
Dynamic Black-box Backdoor Attacks on IoT Sensory Data
Is Your Phone You? How Privacy Policies of Mobile Apps Allow the Use of Your Personally Identifiable Information
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability
Privacy in Practice: Research Challenges in the Deployment of Privacy-Preserving ML
Can Federated Learning be Responsible?
Enabling Collaborative Multi-Domain Applications: A Blockchain-Based Solution with Petri Net Workflow Modeling and Incentivization
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020, Atlanta, GA, USA, October 28-31, 2020
k-Anonymity in Federated Heterogenous Graphs and k-Core Anonymization
Next Generation Smart Built Environments: The Fusion of Empathy, Privacy and Ethics
FUBA: Federated Uncovering of Backdoor Attacks for Heterogeneous Data
Network Operations Scheduling for Distributed Quantum Computing
AI-Driven Selective Protection of Multimedia Data
Message from the General Chairs and PC Chairs TPS-ISA 2023
An RNS Implementation of the Elliptic Curve Cryptography for IoT Security
BCB-X3DH: a Blockchain Based Improved Version of the Extended Triple Diffie-Hellman Protocol
Privacy Challenges and Solutions for Image Data Sharing
Genesis of Cyber Threats: Towards Malware-based Advanced Persistent Threat (APT) Attribution
Towards Transparent Intrusion Detection: A Coherence-Based Framework in Explainable AI Integrating Large Language Models
Secure Cross-Chain Provenance for Digital Forensics Collaboration
Explainable AI for Prioritizing and Deploying Defenses for Cyber-Physical System Resiliency
Countering Malware Via Decoy Processes with Improved Resource Utilization Consistency
Disincentivizing Double Spend Attacks Across Interoperable Blockchains
Analysis and Nudging of Personally Identifiable Information in Online Used Markets
Selective Targeted Transfer Learning for Malware Classification
Make Consumers Happy by Defuzzifying the Service Level Agreements
Toward Automated Enforcement of Cyber-Physical Security Requirements for Energy Delivery Systems
Towards faster settlement in HTLC-based Cross-Chain Atomic Swaps
Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions
Traceable, trustworthy and privacy preserving agri-food supply chains
The Intersection of Quantum Computing, AI, and Cybersecurity: Challenges and Opportunities
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference
First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2019, Los Angeles, CA, USA, December 12-14, 2019
Convergent Access Control to Enable Secure Smart Communities
Automated Consistency Analysis of LLMs
Last Mile of Blockchains: RPC and Node-as-a-service
ComplexIoT: Behavior-Based Trust For IoT Networks
Physics Reasoning for Intrusion Detection in Industrial Networks
Towards Faster Functional Encryption for Privacy-preserving Machine Learning
ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability
A Survival Game Analysis to Personal Identity Protection Strategies
Hydra: Pipelineable Interactive Arguments of Knowledge for Verifiable Neural Networks
Towards IoT Security Automation and Orchestration
A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality
Metamorphic Malware Evolution: The Potential and Peril of Large Language Models
Maintaining Review Credibility Using NLP, Reputation, and Blockchain
Towards Efficient Evaluation of ABAC Policies using High-Dimensional Indexing Techniques
Formal Verification of a Nuclear Plant Thermal Dispatch Operation Using System Decomposition
Peculiarity and Diversity Measures to Evaluate Attribute-Based Access Rules
Seamless Asset Exchange in Interconnected Metaverses: Unraveling On-Chain Atomic Swap
Mitigating Targeted Universal Adversarial Attacks on Time Series Power Quality Disturbances Models
Counter Denial of Service for Next-Generation Networks within the Artificial Intelligence and Post-Quantum Era
Managing Reputation Scores in a Blockchain-based Decentralized Marketplace
ML-FEED: Machine Learning Framework for Efficient Exploit Detection
Enhanced Scanning in SDN Networks and its Detection using Machine Learning
Efficiently Supporting Attribute-Based Access Control in Relational Databases
What Makefile? Detecting Compiler Information Without Source Using The Code Property Graph
Revisit Linear Transformation for Image Privacy in Machine Learning
Statistical Methods for Developing Cybersecurity Response Thresholds for Operational Technology Systems Using Historical Data
Foundations for Robust Data Protection: Co-designing Law and Computer Science
A Comparative Evaluation of Differentially Private Image Obfuscation
Developing Self-evolving Deepfake Detectors Against AI Attacks
On the Application of Cyber-Informed Engineering (CIE)
Z Table: Cost-Optimized Attack on Reinforcement Learning
Impact of Dimensionality Reduction on Outlier Detection: an Empirical Study
Handling Incomplete Information in Policy Evaluation using Attribute Similarity
CRISP: Change Risk for IT Service Providers
Fast and Post-Quantum Authentication for Real-time Next Generation Networks with Bloom Filter
Translating Natural Language Specifications into Access Control Policies by Leveraging Large Language Models
Energy-Aware Privacy Controls for Clouds
Towards Privacy in Deep Learning
Bias Detection and Mitigation in Zero-Shot Spam Classification using LLMs
MoNet: Impressionism As A Defense Against Adversarial Examples
Digital Twins and the Future of Their Use Enabling Shift Left and Shift Right Cybersecurity Operations
Invisible Watermarking for Audio Generation Diffusion Models
Development of a Cyber-Physical Model and Emulation of an Oil and Gas Compressor Station for Cybersecurity Research and Development
Security and Privacy for a Sustainable Internet of Things
Diggi: A Secure Framework for Hosting Native Cloud Functions with Minimal Trust
Model Based Risk Assessment and Risk Mitigation Framework for Cyber-Physical Systems
Open-TEE is No Longer Virtual: Towards Software-Only Trusted Execution Environments Using White-Box Cryptography
Asynchronous Advantage Actor-Critic (A3C) Learning for Cognitive Network Security
Mind the CORS
Large Language Models and Computer Security
Ensuring Trust in Genomics Research
LLM-Sentry: A Model-Agnostic Human-in-the-Loop Framework for Securing Large Language Models
Edge Centric Secure Data Sharing with Digital Twins in Smart Ecosystems
A Functional Model and Analysis of Next Generation Malware Attacks and Defenses
Dynamic defenses and the transferability of adversarial examples
Security-Aware Energy Management in Clouds
Synergizing Error Suppression, Mitigation and Correction for Fault-Tolerant Quantum Computing
Trustworthy Misinformation Mitigation with Soft Information Nudging
Harpocrates: Privacy-Preserving and Immutable Audit Log for Sensitive Data Operations
Requirements and Challenges for Secure and Trustworthy UAS Collaboration
Efficient Blockchain Enabled Attribute-based Access Control as a Service
Trustworthy and Sustainable Edge AI: A Research Agenda
Mind the Inclusion Gap: A Critical Review of Accessibility in Anti-Counterfeiting Technologies
Membership Inference Attack on Graph Neural Networks
Robust (Deep) Learning Framework Against Dirty Labels and Beyond
A Performance Evaluation of CAN Encryption
SOC and Academia - Building Resilient Systems
RAI4IoE: Responsible AI for Enabling the Internet of Energy
Ensuring Privacy Policy Compliance of Wearables with IoT Regulations
Privacy and Security Issues for Human Digital Twins
ProProv: A Language and Graphical Tool for Specifying Data Provenance Policies
Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities
An Investigation on the Fragility of Graph Neural Networks: The Impact of Node Feature Modification on Graph Classification Accuracy
Preserving Privacy During Reinforcement Learning With AI Feedback
Bridging the Gap: Industry Perspectives and Trends in Cloud Security, and Opportunities for Collaborative Research
Money Talks: Detection of Disposable Phishing Websites by Analyzing Its Building Costs
Online Symbolic Learning of Policies for Explainable Security
Fine-Tuning LLMs for Code Mutation: A New Era of Cyber Threats
Toward a (Secure) Path of Least Resistance: An Examination of Usability Challenges in Secure Sandbox Systems
Noise as a Double-Edged Sword: Reinforcement Learning Exploits Randomized Defenses in Neural Networks
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
The TSC-PFed Architecture for Privacy-Preserving FL
Big Data Privacy Management: A Vision Paper
Towards Privacy-Preserving and Secure Machine Unlearning: Taxonomy, Challenges and Research Directions
Perception Poisoning Attacks in Federated Learning
Defending Against Targeted Poisoning Attacks in Federated Learning
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
Situational Awareness for Smart Home IoT Security via Finite State Automata Based Attack Modeling
A Privacy Preserving Anomaly Detection Framework for Cooperative Smart Farming Ecosystem
Discovery of Evolving Relationships of Software Vulnerabilities
Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One
An Exploratory Analysis on Users' Contributions in Federated Learning
Contextualizing Consensus Protocols in Blockchain: A Short Survey
DDoS-as-a-Smokescreen: Leveraging Netflow Concurrency and Segmentation for Faster Detection
ZAC: Efficient Zero-Knowledge Dynamic Universal Accumulator and Application to Zero-Knowledge Elementary Database
Towards Applying Design-Thinking for Designing Privacy-Protecting Information Systems
Metaverse: Security and Privacy Issues
A Universal Deduplication Architecture for Secure and Efficient Cloud Storage
Twitter Bot Detection Using Bidirectional Long Short-Term Memory Neural Networks and Word Embeddings
A Laboratory-Scale Canal SCADA System Testbed for Cybersecurity Research
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems
Balancing Privacy and Accuracy in IoT Using Domain-Specific Features for Time Series Classification
HAL 9000: a Risk Manager for ITSs
Investigating Organizational Factors Associated with GDPR Noncompliance using Privacy Policies: A Machine Learning Approach
Detecting Cloud-Based Phishing Attacks by Combining Deep Learning Models
From Blue-Sky to Practical Adversarial Learning
A Needle in a Haystack: Finding a Suitable Lightweight IoT Authentication Protocol and Improving Its Usability
Role-Based Access Control Models for Android
User Acceptance of Usable Blockchain-Based Research Data Sharing System: An Extended TAM-Based Study
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems
A Queueing Solution to Reduce Delay in Processing of Disclosed Vulnerabilities
Short paper: Secure Lightweight Computation for Federated N-Gram Language Model
Engineering Mobile Wireless Publish/Subscribe Systems for High Performance
Geographic Load Balancing for Scalable Distributed Web Systems
HALO: Heterogeneity-Aware Load Balancing
Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS
Multiclass Multiservers with Deferred Operations in Layered Queueing Networks, with Software System Applications
Closer: A New Design Principle for the Privileged Virtual Machine OS
An Economic Analysis of 5G Network Slicing and the Impact of Regulation
Providing High Reliability in a Minimum Redundancy Archival Storage System
MASCOTS '95, Proceedings of the Third International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems, January 10-18, 1995, Durham, North Carolina, USA
Trace-Driven Simulation of Data-Alignment and Ohter Factors Affecting Update and Invalidate Based Coherent Memory
Performance Evaluation Based on an Aggregate ATM Model
A Maximum Entropy Analysis of the Single Server Queue
Sector Cache Design and Performance
Performance Analysis of Pools in Soft Real-Time Design Architectures
MASCOTS 2010, 18th Annual IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, Miami, Florida, USA, August 17-19, 2010
Replication policies for layered clustering of NFS servers
Experimental Calibration and Validation of a Speed Scaling Simulator
Performance Evaluation of Java RMI: A Distributed Object Architecture for Internet Based Applications