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.
National Conference of the American Association for Artificial Intelligence (AAAI) On Stealing Graph Neural Network Models
Association for the Advancement of Artificial Intelligence (AAAI) Demystifying Foreground-Background Memorization in Diffusion Models
International Conference on Learning Representations (ICLR) Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
AAAI 2026 Workshop on AI Governance Frequency-Domain Model Fingerprinting for Image Autoregressive Models
ICLR 2026 Workshop: Principled Design for Trustworthy AI
Conference on Neural Information Processing Systems (NeurIPS) Exploring the limits of strong membership inference attacks on large language models
Conference on Neural Information Processing Systems (NeurIPS) Memorization in Graph Neural Networks
National Conference of the American Association for Artificial Intelligence (AAAI) Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images
Conference on Neural Information Processing Systems (NeurIPS) BitMark: Watermarking Bitwise Autoregressive Image Generative Models
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) CDI: Copyrighted Data Identification in Diffusion Models