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.
ICML Workshop on Foundation Models in the WIld (ICML-W) POST: A Framework for Privacy of Soft-prompt Transfer
International Conference on Learning Representations (ICLR) Memorization in Self-Supervised Learning Improves Downstream Generalization
eBioMedicine Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
Conference on Neural Information Processing Systems (NeurIPS) Localizing Memorization in SSL Vision Encoders
Conference on Neural Information Processing Systems (NeurIPS) Open LLMs are Necessary for Private Adaptations and Outperform their Closed Alternatives
Conference on Neural Information Processing Systems (NeurIPS) Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
Conference on Neural Information Processing Systems (NeurIPS) Robust and Actively Secure Serverless Collaborative Learning.
Conference on Neural Information Processing Systems (NeurIPS) Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
Conference on Neural Information Processing Systems (NeurIPS) Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
CoRR Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders.