Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks
☆44Sep 23, 2021Updated 4 years ago
Alternatives and similar repositories for athena
Users that are interested in athena are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source for paper "Attacking Binarized Neural Networks"☆23Mar 23, 2018Updated 8 years ago
- Robustness for Non-Parametric Classification: A Generic Attack and Defense☆18Nov 21, 2022Updated 3 years ago
- Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX …☆19Nov 28, 2018Updated 7 years ago
- (HotMobile'24) Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing☆17Jan 22, 2024Updated 2 years ago
- Data-centric defense mechanism against Spectre attacks. (DAC'19)☆11Nov 6, 2019Updated 6 years ago
- Source code of IPA, https://escholarship.org/uc/item/2p0805dq☆12Jun 27, 2024Updated last year
- ☆17Sep 25, 2019Updated 6 years ago
- Opening Pandora's Box: A Systematic Study of New Ways Microarchitecture can Leak Private Data☆20Oct 13, 2022Updated 3 years ago
- ☆21May 13, 2022Updated 3 years ago
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Feb 22, 2024Updated 2 years ago
- Modular Adversarial Robustness Toolkit☆21Jul 11, 2025Updated 8 months ago
- Security Test Benchmark for Computer Architectures☆20Sep 24, 2025Updated 6 months ago
- ☆27May 27, 2020Updated 5 years ago
- Defending Against Backdoor Attacks Using Robust Covariance Estimation☆22Jul 12, 2021Updated 4 years ago
- [NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"☆27Dec 10, 2023Updated 2 years ago
- Universal Robustness Evaluation Toolkit (for Evasion)☆32Sep 17, 2025Updated 6 months ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆38May 25, 2021Updated 4 years ago
- Robustness vs Accuracy Survey on ImageNet☆99Aug 3, 2021Updated 4 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆175May 3, 2024Updated last year
- A behavioural cache model for analysing the cache behaviour under side-channel attack.☆28Jun 25, 2025Updated 9 months ago
- ☆29Nov 5, 2021Updated 4 years ago
- Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".☆10Feb 6, 2024Updated 2 years ago
- ☆10Apr 6, 2018Updated 7 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆63Feb 25, 2018Updated 8 years ago
- ☆31Jul 11, 2022Updated 3 years ago
- Secure Inference Resilient Against Malicious Clients☆14May 3, 2022Updated 3 years ago
- [EMNLP 2025 Oral] IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents☆16Sep 16, 2025Updated 6 months ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Aug 3, 2021Updated 4 years ago
- Early exit ensembles☆12Dec 4, 2021Updated 4 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆188Apr 4, 2023Updated 2 years ago
- ☆10Mar 8, 2025Updated last year
- Implementation of the Biased Boundary Attack for the NeurIPS 2018 Adversarial Vision Challenge☆13Jan 29, 2020Updated 6 years ago
- Multivariate Electricity Consumption Prediction with Extreme Learning Machine☆10Jun 25, 2018Updated 7 years ago
- A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"☆25Jun 18, 2021Updated 4 years ago
- ☆14Dec 30, 2021Updated 4 years ago
- Cross-Domain Deep Code Search with Few-Shot Learning☆11Jul 5, 2023Updated 2 years ago
- ☆11Jul 27, 2018Updated 7 years ago
- DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level☆38Nov 1, 2022Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 6 years ago