locuslab / breaking-poisoned-classifierLinks
Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"
☆26Updated 3 years ago
Alternatives and similar repositories for breaking-poisoned-classifier
Users that are interested in breaking-poisoned-classifier are comparing it to the libraries listed below
Sorting:
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 2 years ago
- ConvexPolytopePosioning☆37Updated 5 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
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- ☆19Updated 4 years ago
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆20Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 3 years ago
- kyleliang919 / Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferabilitycode for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.☆17Updated 3 years ago
- ☆26Updated 6 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆48Updated 3 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 4 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
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)☆41Updated 5 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 3 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- Official Repository for the CVPR 2020 paper "Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs"☆44Updated 2 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- ☆48Updated 4 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆91Updated 2 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Updated 4 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆38Updated 3 years ago
- Code for FAB-attack☆34Updated 5 years ago
- ☆68Updated last year
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 5 years ago
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆76Updated 2 years ago
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆14Updated 4 years ago
- Craft poisoned data using MetaPoison☆54Updated 4 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Updated 3 years ago