What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
Publications
62 results for AI Privacy
AUTOLYCUS: Exploiting Explainable Artificial Intelligence (XAI) for Model Extraction Attacks against Interpretable Models
- Abdullah Caglar Oksuz
- Anisa Halimi
- et al.
- 2024
- PETS 2024
Privacy-Preserving Verification of Preprocessing in Machine Learning Models
- Wenbiao Li
- Anisa Halimi
- et al.
- 2024
- PETS 2024
Improving Membership Inference Attacks against Classification Models
- Shlomit Shachor
- Natalia Razinkov
- et al.
- 2024
- KES-IDT 2024
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification
- Prashanth Vijayaraghavan
- Hongzhi Wang
- et al.
- 2024
- NAACL 2024
Synthetic Data Generation via Multidimensional Multiset Sum
- Cynthia Dwork
- Kristjan Greenewald
- et al.
- 2024
- FORC 2024
Ultra-Compact Computing at the Edge Involving Unobtrusively Small Sub-millimeter Heterogeneous Integration Packaging
- Frank Libsch
- Steve Bedell
- et al.
- 2024
- ECTC 2024
Effective PII Guardrails for LLMs
- 2024
- WIDS 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
Data Forging Is Harder Than You Think
- 2024
- ICLR 2024