nuwuxian / rl_attack
☆27Updated 2 years ago
Alternatives and similar repositories for rl_attack
Users that are interested in rl_attack are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆129Updated 3 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆64Updated 4 years ago
- Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning☆19Updated 4 years ago
- Adversarial Example Attacks on Policy Learners☆40Updated 4 years ago
- ☆20Updated 3 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆89Updated 2 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆90Updated 4 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.☆28Updated 4 months ago
- Craft poisoned data using MetaPoison☆51Updated 4 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆99Updated 2 years ago
- ☆54Updated 2 years ago
- ☆66Updated 4 years ago
- Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)☆19Updated 4 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Updated 5 years ago
- MACER: MAximizing CErtified Radius (ICLR 2020)☆29Updated 5 years ago
- ☆16Updated 2 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated last year
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 6 years ago
- Source Code for ICRL 2018 Paper: PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples☆25Updated 5 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- ☆26Updated 2 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆30Updated 3 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆47Updated last year
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆57Updated 5 years ago
- Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)☆40Updated 4 years ago
- Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX …☆20Updated 6 years ago