Faculty
Adam Dziedzic is a tenure-track faculty member at CISPA, where he co-leads the SprintML group with a research focus on Secure, Private, Robust, Interpretable, and Trustworthy Machine Learning. Before joining CISPA, he was a Postdoctoral Fellow at the Vector Institute and the University of Toronto, a member of the CleverHans Lab, advised by Prof. Nicolas Papernot. He earned his PhD in computer science at the University of Chicago, where he was advised by Prof. Sanjay Krishnan and worked on input and model compression for adaptive and robust neural networks.
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
AAAI 2026 Workshop on AI Governance Frequency-Domain Model Fingerprinting for Image Autoregressive Models
ICLR 2026 Workshop: Principled Design for Trustworthy AI
International Conference on Learning Representations (ICLR) Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
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