⬤ HOME RESEARCH TRUSTWORTHY INFORMATION PROCESSING TRUSTWORTHY INFORMATION PROCESSING The Internet of today is a gigantic data storage that collects sensitive personal data about its users. This leads to significant security and privacy risks, as end users lose control over the data they share. Developing methods and tools to enable a secure and privacy-friendly processing of data thus constitutes a core challenge to all data-driven ecosystems and applications. In particular, the success of digitalization heavily depends on whether companies are able to gain their users' trust regarding the protection of their privacy. This research area strives to develop disruptive new frameworks for reasoning about and improving security and privacy in information processing in various settings, efficiently and at scale. In the last years, this area has had a particular focus on the following topics: novel methods and tools for the algorithmic sanitization of privacy-sensitive data, in particular for genomic and medical research, new techniques for quantitatively assessing end user privacy, as well as efficient techniques for secure, verifiable computation. RESEARCH TOPIC ANONYMITY ASSESSMENT AND PROTECTION Anonymity assessment for TOR and anonymity protection. RESEARCH TOPIC EFFICIENT SECURE COMPUTATION Signing documents anonymously. Reducing communication cost. RESEARCH TOPIC OUTSOURCED COMPUTATION Verifiable computation. Protecting the secrey and integrity of outsourced data. RESEARCH TOPIC POST-QUANTUM CRYPTOGRAPHY Cryptography based on post-quantum assumptions. Diversifying those assumptions. RESEARCH TOPIC PRIVACY OF MEDICAL DATA Privacy of microrna data, DNA methylation data, and health data from personal devices. RESEARCH TOPIC PRIVACY OF VISUAL INFORMATION Understanding and enforcing privacy in visual information. Working towards a visual privacy advisor. RESEARCH TOPIC SECURE AND PRIVACY PRESERVING MACHINE LEARNING Defenses against evasion and inference attacks. privacy. RESEARCH TOPIC SOCIAL NETWORKS PRIVACY Privacy of social relations and privacy-utility trade-offs. OUR LATEST PUBLICATIONS YEAR 2022 2022-08-22 ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models CONFERENCE / MEDIUM USENIX-Security USENIX Security Symposium (USENIX Security)USENIX Security Symposium (USENIX Security), 2022. TAGS Trustworthy Information Processing AUTHORS Yugeng Liu Rui Wen Xinlei He Ahmed Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang DOWNLOAD VISIT DETAIL PAGE 2022-01-09 Counting list homomorphisms from graphs of bounded treewidth: tight complexity bounds CONFERENCE / MEDIUM SODA SODA 2022 - ACM/SIAM Symposium on Discrete AlgorithmsSODA 2022 - ACM/SIAM Symposium on Discrete Algorithms TAGS Trustworthy Information Processing AUTHORS Jacob Focke Dániel Marx Paweł Rzążewski DOWNLOAD VISIT DETAIL PAGE YEAR 2021 2021-10 Robustness Certification for Point Cloud Models CONFERENCE / MEDIUM ICCV Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)IEEE International Conference on Computer Vision (ICCV), 2021 TAGS Trustworthy Information Processing Reliable Security Guarantees Threat Detection and Defenses AUTHORS Tobias Lorenz Anian Ruoss Mislav Balunović Gagandeep Singh Martin Vechev DOWNLOAD VISIT DETAIL PAGE GO TO PUBLICATIONS OUR MEMBERS MICHAEL BACKES GUIDO PATRICK BATTISTON DIPAYAN DAS NICO DÖTTLING ILKAN ESIYOK JORDAN ETHAN MARIO FRITZ SANAM GHORBANI LYASTANI LUCJAN HANZLIK RAKIBUL HASAN JIE HUANG CHARLIE JACOMME ASHWIN JHA ANTOINE JOUX KAMIL KLUCZNIAK ROBERT KÜNNEMANN PANAGIOTIS MANDROS NINJA MARNAU DÁNIEL MARX ANAND KUMAR NARAYANAN HAMED NEMATI MARTEN OLTROGGE MARCO PATRIGNANI DAVID PFAFF IVAN PRYVALOV AHMED SALEM LEONARD SCHILD JONAS SCHNEIDER-BENSCH PATRICK SPEICHER BARTLOMIEJ SURMA JILLES VREEKEN MUHAMMAD YASEEN YANG ZHANG ZHIKUN ZHANG OTHER RESEARCH AREAS RESEARCH AREA RELIABLE SECURITY GUARANTEES RESEARCH AREA THREAT DETECTION AND DEFENSES RESEARCH AREA SECURE MOBILE AND AUTONOMOUS SYSTEMS RESEARCH AREA EMPIRICAL AND BEHAVIORAL SECURITY RESEARCH ABOUT US CAREER NEWS & EVENTS TRANSFER & OUTREACH CISPA is committed to the highest international academic standards. We offer a world-class research environment that grants extensive resources to a wide range of researchers and constitutes an attractive destination for the best talents and scientists from all countries. In addition, we strongly support undergraduate and graduate education of Cybersecurity students, and we seek to become an elite training ground for the next generation of Cybersecurity experts and scientific leaders in this field. CISPA Helmholtz Center for Information Security Stuhlsatzenhaus 5 66123 Saarbrücken +49 681 / 87083 1001 +49 681 / 302 71942 IMPRINT DATA PRIVACY POLICY SITEMAP Copyright CISPA 2020