[Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness
☆17Jul 5, 2024Updated 2 years ago
Alternatives and similar repositories for MDAttack
Users that are interested in MDAttack are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆37Oct 29, 2025Updated 8 months ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆177Jul 5, 2024Updated 2 years ago
- This is the repository for the AI2019, tutorial on adversarial machine learning☆16Jul 20, 2020Updated 6 years ago
- SaTML'23 paper "Backdoor Attacks on Time Series: A Generative Approach" by Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, and James Bail…☆21Feb 5, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining☆21Feb 26, 2025Updated last year
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆22Apr 25, 2023Updated 3 years ago
- Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)☆11Aug 29, 2020Updated 5 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆32Dec 2, 2023Updated 2 years ago
- ⚖️ Code for the paper "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning".☆11Dec 8, 2022Updated 3 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Jul 5, 2024Updated 2 years ago
- Unrestricted adversarial images via interpretable color transformations (TIFS 2023 & BMVC 2020)☆32Apr 25, 2023Updated 3 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Dec 26, 2019Updated 6 years ago
- ☆30Feb 19, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Tensorflow implementation of "Defense against Universal Adversarial Perturbations"☆10Apr 16, 2018Updated 8 years ago
- ZOSVRG-BlackBox-Adv☆12Oct 30, 2018Updated 7 years ago
- Code for Transferable Unlearnable Examples☆22Mar 11, 2023Updated 3 years ago
- Self-Evolving Defense for AI Agents — Protect against prompt injection, data exfiltration, and multi-stage attacks with adaptive security…☆19Apr 8, 2026Updated 3 months ago
- Final Project for COMP 551. A detailed tutorial on the various techniques employed for adversarial attacks on machine learning classifier…☆12May 16, 2017Updated 9 years ago
- Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".☆16May 6, 2020Updated 6 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆41Feb 10, 2023Updated 3 years ago
- ☆27Nov 9, 2022Updated 3 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆177May 3, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Feb 13, 2022Updated 4 years ago
- ☆19Jun 26, 2021Updated 5 years ago
- Adversarial machine learning and explainable machine learning for cyber security☆13Jun 21, 2022Updated 4 years ago
- Bachelor's Thesis on Adversarial Machine Learning Attacks and Defences☆17Nov 18, 2022Updated 3 years ago
- Learning perturbation sets for robust machine learning☆66Aug 23, 2021Updated 4 years ago
- ☆58Jul 27, 2022Updated 3 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆85Jul 20, 2023Updated 3 years ago
- Black-box Adversarial Attacks on Video Recognition Models. (VBAD)☆27Oct 28, 2019Updated 6 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆191Dec 27, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆21Oct 1, 2022Updated 3 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆32Apr 27, 2022Updated 4 years ago
- One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)☆14Sep 28, 2025Updated 9 months ago
- A repository for the query-efficient black-box attack, SignHunter☆23Jan 15, 2020Updated 6 years ago
- ☆62Dec 4, 2024Updated last year
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆52Nov 2, 2020Updated 5 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 years ago