European Conference on Artificial Intelligence (ECAI)
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
NeurIPS-Workshop (NeurIPS-W)
Auditing Empirical Privacy Protection for Adaptations of Large Language Models
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