Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
☆34May 26, 2023Updated 3 years ago
Alternatives and similar repositories for AdaAD
Users that are interested in AdaAD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆22Feb 20, 2022Updated 4 years ago
- The repo for paper: Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models.☆15Dec 16, 2024Updated last year
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Mar 15, 2022Updated 4 years ago
- Accept by CVPR 2025 (highlight)☆25Jun 8, 2025Updated last year
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆145Jul 31, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Aug 29, 2021Updated 4 years ago
- The code of the ICLR 2024 paper: Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization☆10Nov 21, 2024Updated last year
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆32Apr 28, 2022Updated 4 years ago
- Code repository for the paper "Heuristic Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models"☆18Aug 7, 2025Updated 10 months ago
- Data and code for the paper: Finding Safety Neurons in Large Language Models☆29Jan 29, 2026Updated 4 months ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59May 24, 2019Updated 7 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆745May 16, 2024Updated 2 years ago
- ☆14Jun 6, 2023Updated 3 years ago
- CVPR 2023 generalist☆16Oct 25, 2023Updated 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.
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- ☆21Feb 3, 2025Updated last year
- [NeurIPS 2025] The official implementation of the paper "DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agen…☆52Apr 19, 2026Updated last month
- [ICLR 2022]: Fast AdvProp☆35Mar 21, 2022Updated 4 years ago
- ☆22Dec 14, 2023Updated 2 years ago
- ☆20Oct 5, 2023Updated 2 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 3 years ago
- Distribution Preserving Backdoor Attack in Self-supervised Learning☆20Jan 27, 2024Updated 2 years ago
- Code for NeurIPS 2024 Paper "Fight Back Against Jailbreaking via Prompt Adversarial Tuning"☆22May 6, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [ICCV 2023] HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness☆17Sep 28, 2023Updated 2 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Jul 3, 2021Updated 4 years ago
- ☆64Aug 9, 2023Updated 2 years ago
- Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.☆94Dec 1, 2022Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- [WWW '25] Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability☆18May 30, 2025Updated last year
- Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)☆51Jul 21, 2025Updated 10 months ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Mar 4, 2022Updated 4 years ago
- [ICML 2025] UDora: A Unified Red Teaming Framework against LLM Agents☆37Jun 24, 2025Updated 11 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning…☆19Jun 7, 2023Updated 3 years ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆20Aug 22, 2024Updated last year
- ☆28Nov 29, 2023Updated 2 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆26Dec 23, 2020Updated 5 years ago
- ☆40Oct 2, 2024Updated last year
- Divide-and-Conquer Attack: Harnessing the Power of LLM to Bypass the Censorship of Text-to-Image Generation Mode☆17Feb 16, 2025Updated last year
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆28Nov 25, 2022Updated 3 years ago