Faculty
Adam Dziedzic ist Tenure-Track Faculty am CISPA, wo er die SprintML-Gruppe mit dem Forschungsschwerpunkt „Sicheres, privates, robustes, interpretierbares und vertrauenswürdiges maschinelles Lernen“ mitleitet. Bevor er zum CISPA kam, war er Postdoktorand am Vector Institute und an der University of Toronto sowie Mitglied des CleverHans Lab unter der Betreuung von Prof. Nicolas Papernot. Er promovierte in Informatik an der University of Chicago, wo er von Prof. Sanjay Krishnan betreut wurde und sich mit der Komprimierung von Eingaben und Modellen für adaptive und robuste neuronale Netze befasste.
European Conference on Computer Vision (ECCV) Data Circuit Breaker: Identifying Training, Test, and Generated Data in Image Generative Models
The 19th European Conference on Computer Vision (ECCV), 2026 MultiMem: Measuring and Mitigating Memorization in Multi-Modal Contrastive Learning
IH&MMSec '26: ACM Workshop on Information Hiding and Multimedia Security Watermark Degradation Across Model Iterations
Proceedings of the ACM Asia Conference on Computer and Communications Security ADAGE: Active Defenses Against GNN Extraction
International Conference on Machine Learning (ICML) Finding DoRI: Discovery of Retained Images in Diffusion Models
International Conference on Machine Learning (ICML) Concept Removal in Frontier Image Generative Models
International Conference on Learning Representations (ICLR) Natural Identifiers for Privacy and Data Audits in Large Language Models
International Conference on Learning Representations (ICLR) SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image Generation
International Conference on Learning Representations (ICLR) Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
International Conference on Learning Representations (ICLR) Data Provenance for Image Auto-Regressive Generation