What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
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214 results for Adversarial Robustness and Privacy
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-Yen Chou
- et al.
- 2024
- AAAI 2024
- Topic
Transferring Adversarial Robustness Through Robust Representation Matching
- Pratik Vaishnavi
- Kevin Eykholt
- et al.
- 2022
- USENIX Security 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
- Yimeng Zhang
- Yuguang Yao
- et al.
- 2022
- ICLR 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
- Yuguang Yao
- Yifan Gong
- et al.
- 2022
- ICLR 2022
Adversarial Attack Generation Empowered by Min-Max Optimization
- Jingkang Wang
- Tianyun Zhang
- et al.
- 2021
- NeurIPS 2021
Catastrophic Data Leakage in Vertical Federated Learning
- Xiao Jin
- Pin-Yu Chen
- et al.
- 2021
- NeurIPS 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
- Yonggan Fu
- Qixuan Yu
- et al.
- 2021
- NeurIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- NeurIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2021
- NeurIPS 2021