weizeming / ICML-2024-SAM-AT
☆23Updated 8 months ago
Alternatives and similar repositories for ICML-2024-SAM-AT:
Users that are interested in ICML-2024-SAM-AT are comparing it to the libraries listed below
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆38Updated 2 months ago
- ☆11Updated last year
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆37Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆66Updated 11 months ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆25Updated 3 months ago
- ☆18Updated last year
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆18Updated 10 months ago
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆9Updated 7 months ago
- ☆23Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆18Updated last year
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆18Updated 10 months ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 3 years ago
- [CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsi…☆23Updated 5 months ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated last year
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆38Updated 3 months ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆136Updated last year
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- ☆53Updated last year
- ☆84Updated 2 years ago
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆13Updated last year
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆28Updated last month
- [ICLR 2024] Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images☆26Updated last year
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆13Updated 4 months ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆29Updated 2 years ago
- ☆31Updated 8 months ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆14Updated 2 years ago
- Benchmark of robust self-supervised learning (RobustSSL) methods & Code for AutoLoRa (ICLR 2024).☆15Updated 8 months ago
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆34Updated last year