USSLab / PoltergeistAttackLinks
☆25Updated 3 years ago
Alternatives and similar repositories for PoltergeistAttack
Users that are interested in PoltergeistAttack 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
- Code for the paper entitled "Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack"…☆38Updated 4 years ago
- Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf☆28Updated 4 years ago
- ☆21Updated 5 years ago
- Artifacts for SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations☆28Updated 4 years ago
- ☆45Updated 8 months ago
- ☆29Updated 2 years ago
- Implementation of the paper "An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models"☆17Updated 5 years ago
- ☆49Updated 5 years ago
- Proof of concept code for DeepSteal (SP'22) Machine Learning model extraction (weight stealing) with memory side channel☆13Updated 2 years ago
- icml24☆14Updated 10 months ago
- In the repository we provide a sample code to implement the Targeted Bit Trojan attack.☆20Updated 5 years ago
- Trojan Attack on Neural Network☆190Updated 3 years ago
- ☆25Updated 4 years ago
- Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper☆38Updated 7 years ago
- Library for training globally-robust neural networks.☆31Updated 4 months ago
- Modular Adversarial Robustness Toolkit☆20Updated 5 months ago
- Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018)☆112Updated 4 years ago
- TAOISM: A TEE-based Confidential Heterogeneous Deployment Framework for DNN Models☆50Updated last year
- DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model☆226Updated 6 years ago
- Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While D…☆135Updated 2 years ago
- ☆68Updated 5 years ago
- runs several layers of a deep learning model in TrustZone