safreita1 / unmask
Adversarial detection and defense for deep learning systems using robust feature alignment
☆14Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for unmask
- ☆48Updated 2 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Updated 4 years ago
- ☆11Updated last year
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 2 years ago
- ☆25Updated 5 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆46Updated 3 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 2 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- ☆11Updated 4 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- ☆41Updated last year
- Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.☆42Updated last year
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆30Updated 3 years ago
- Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper☆20Updated 4 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆32Updated 4 years ago
- Craft poisoned data using MetaPoison☆47Updated 3 years ago
- ConvexPolytopePosioning☆34Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆54Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆31Updated 2 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- ☆16Updated 4 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated last year
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆27Updated 3 years ago
- Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples☆18Updated 2 years ago
- ☆21Updated last year
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"☆14Updated 3 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆32Updated last year
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆14Updated 2 years ago
- ☆19Updated 4 years ago