AlignmentResearch/hidden-goal-model-organism-deception-dataset-nemotron3-super-v1 Viewer • Updated about 1 month ago • 645 • 8
AlignmentResearch/hidden-goal-model-organism-deception-dataset-gemma3-27b-v1 Viewer • Updated about 1 month ago • 694 • 7
AlignmentResearch/collusion-model-organism-deception-dataset-gemma3-27b-v1 Viewer • Updated about 1 month ago • 1.43k • 12
AlignmentResearch/hidden-goal-model-organism-deception-dataset-nemotron3-super-v1 Viewer • Updated about 1 month ago • 645 • 8
AlignmentResearch/hidden-goal-model-organism-deception-dataset-gemma3-27b-v1 Viewer • Updated about 1 month ago • 694 • 7
AlignmentResearch/collusion-model-organism-deception-dataset-gemma3-27b-v1 Viewer • Updated about 1 month ago • 1.43k • 12
Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks Paper • 2602.14689 • Published Feb 16 • 1
Finding Dori: Memorization in Text-to-Image Diffusion Models Is Less Local Than Assumed Paper • 2507.16880 • Published Jul 22, 2025 • 7
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks Paper • 2111.09076 • Published Nov 17, 2021 • 1
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks Paper • 2201.12179 • Published Jan 28, 2022 • 1
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Paper • 2308.09490 • Published Aug 18, 2023 • 1
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data Paper • 2310.06372 • Published Oct 10, 2023 • 1
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks Paper • 2310.06549 • Published Oct 10, 2023 • 1