kenny-co / procedural-advml
Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
☆55Updated 3 years ago
Related projects: ⓘ
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆61Updated 4 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Updated 6 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆83Updated 6 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆65Updated 6 years ago
- EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples☆37Updated 5 years ago
- Adversarial Examples: Attacks and Defenses for Deep Learning☆31Updated 6 years ago
- ☆46Updated 3 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆49Updated last year
- Public repo for transferability ICLR 2017 paper☆49Updated 5 years ago
- Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"☆39Updated 6 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆108Updated 6 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆53Updated last year
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 5 years ago
- Data independent universal adversarial perturbations☆61Updated 4 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” …☆21Updated 5 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 4 years ago
- AAAI 2019 oral presentation☆49Updated last month
- Generative Adversarial Perturbations (CVPR 2018)☆133Updated 3 years ago
- Interval attacks (adversarial ML)☆21Updated 5 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 5 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated last year
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated last year
- ☆76Updated 3 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 6 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆172Updated 2 years ago
- NIPS 2017 - Adversarial Learning☆33Updated 6 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago