DependableSystemsLab / MIA_defense_HAMPLinks
Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" in NDSS'24.
☆11Updated 2 years ago
Alternatives and similar repositories for MIA_defense_HAMP
Users that are interested in MIA_defense_HAMP are comparing it to the libraries listed below
Sorting:
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Updated last year
- ☆12Updated 3 years ago
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Updated 2 years ago
- ☆19Updated 4 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 2 years ago
- ☆24Updated 3 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- Camouflage poisoning via machine unlearning☆18Updated 4 months ago
- ☆15Updated 2 years ago
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆20Updated 3 years ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Updated 2 years ago
- [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…☆27Updated 3 years ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- ☆20Updated last month
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆20Updated 2 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆39Updated last year
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Updated 3 years ago
- ☆19Updated 2 years ago
- Code for identifying natural backdoors in existing image datasets.☆15Updated 3 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated last month
- ☆10Updated 3 years ago
- Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons☆15Updated 2 years ago
- ☆13Updated 4 years ago
- Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)☆22Updated 3 years ago
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Updated 5 years ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆34Updated 2 years ago
- ☆31Updated 3 years ago
- official implementation of Towards Robust Model Watermark via Reducing Parametric Vulnerability☆15Updated last year
- ☆32Updated 3 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆32Updated last year