ASGuard-UCI / DRP-attackLinks
Code for the paper entitled "Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack" (Usenix Secrity 2021)
☆38Updated 4 years ago
Alternatives and similar repositories for DRP-attack
Users that are interested in DRP-attack are comparing it to the libraries listed below
Sorting:
- MSF-ADV is a novel physical-world adversarial attack method, which can fool the Multi Sensor Fusion (MSF) based autonomous driving (AD) p…☆80Updated 4 years ago
- An awesome & curated list of autonomous driving security papers☆64Updated 2 months ago
- A Unified and Extensible Infrastructure for Autonomous Driving Testing☆37Updated 2 months ago
- SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving Systems☆27Updated 7 months ago
- Artifacts for SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations☆28Updated 4 years ago
- A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles☆81Updated 6 years ago
- VioHawk: Detecting Traffic Violations of Autonomous Driving Systems through Criticality-guided Simulation Testing☆15Updated last year
- ☆25Updated 3 years ago
- ☆38Updated 3 months ago
- Implementation of the paper "An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models"☆17Updated 5 years ago
- ☆21Updated 5 years ago
- https://arxiv.org/pdf/1906.11897.pdf☆23Updated 4 years ago
- ☆19Updated 3 years ago
- ☆11Updated 6 years ago
- BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems (ISSTA 2023)☆25Updated last year
- The Pytorch implementation for the paper "Fusion is Not Enough: Single Modal Attack on Fusion Models for 3D Object Detection"☆20Updated last year
- ☆11Updated 8 months ago
- Adversarial Driving v.s. Autonomous Driving.☆23Updated 2 years ago
- Reimplementation of AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems (2020 ISSRE)☆21Updated 3 years ago
- Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles☆22Updated 2 years ago
- Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018)☆112Updated 4 years ago
- A repository for the generation, visualization, and evaluation of patch based adversarial attacks on the yoloV3 object detection system☆18Updated 4 years ago
- An open-source software package for fuzzing autonomous driving systems in high-fidelity simulators☆34Updated 3 years ago
- ☆13Updated 3 years ago
- Generate adversarial patches against YOLOv5 🚀☆67Updated 2 months ago
- ☆19Updated 2 years ago
- Grid Patch Attack for Object Detection☆43Updated 3 years ago
- Attacking Vision based Perception in End-to-end Autonomous Driving Models☆34Updated 3 years ago
- REAP: A Large-Scale Realistic Adversarial Patch Benchmark☆32Updated 2 years ago
- Implementation of "Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches"☆24Updated 3 years ago