pralab / IndicatorsOfAttackFailure
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
☆19Updated 2 years ago
Alternatives and similar repositories for IndicatorsOfAttackFailure:
Users that are interested in IndicatorsOfAttackFailure are comparing it to the libraries listed below
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 3 years ago
- ☆10Updated 3 years ago
- ☆23Updated 3 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- ☆40Updated last year
- Code for paper "PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking"☆66Updated 2 years ago
- ☆64Updated 4 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 3 years ago
- Code for AAAI 2021 "Towards Feature Space Adversarial Attack".☆26Updated 3 years ago
- ☆24Updated 2 years ago
- ☆12Updated 5 years ago
- Craft poisoned data using MetaPoison☆51Updated 4 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆12Updated 4 years ago
- ☆11Updated 2 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Updated 2 years ago
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆40Updated last year
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- ☆18Updated 2 years ago
- ☆51Updated 3 years ago
- SaTML 2023, 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.☆25Updated 2 years ago
- ☆24Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- AdvDoor: Adversarial Backdoor Attack of Deep Learning System☆31Updated 5 months ago
- ☆21Updated 3 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- Universal Adversarial Perturbations (UAPs) for PyTorch☆48Updated 3 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆25Updated last year
- Code for generating adversarial color-shifted images☆19Updated 5 years ago
- [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense☆17Updated 11 months ago