hongjun9 / CPS_InvariantLinks
Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach
☆14Updated 4 years ago
Alternatives and similar repositories for CPS_Invariant
Users that are interested in CPS_Invariant are comparing it to the libraries listed below
Sorting:
- ☆20Updated 4 years ago
- Cyber-Physical Inconsistency Identification for Safety Checks in Robotic Vehicles☆10Updated 2 years ago
- ☆21Updated 8 months ago
- Stealthy Attacks against Robotic Vehicles. Please read the following paper before trying out the attacks.☆14Updated 2 years ago
- Policy-Guided Fuzzing for Robotic Vehicles☆36Updated 2 years ago
- ☆15Updated 3 weeks ago
- A state-aware defense framework against vehicular message injection attacks.☆35Updated 4 years ago
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆52Updated 7 years ago
- ☆37Updated 2 weeks ago
- Reward Guided Test Generation for Deep Learning☆21Updated last year
- Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf☆27Updated 3 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆141Updated 2 years ago
- ADAPT is the open source white-box testing framework for deep neural networks☆22Updated 2 years ago
- ☆12Updated 8 months ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆54Updated last year
- Statistics of acceptance rate for the top conferences: Oakland, CCS, USENIX Security, NDSS.☆179Updated last month
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆47Updated 3 years ago
- ☆11Updated last year
- DeepCrime - Mutation Testing Tool for Deep Learning Systems☆15Updated 2 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆36Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles☆81Updated 6 years ago
- Origin-sensitive Control Flow Integrity (OS-CFI) - USENIX Security 2019☆37Updated 3 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆22Updated 4 years ago
- Prototype system for the paper "OAT: Attesting Operation Integrity of Embedded Devices"(Oakland'20)☆16Updated 4 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆28Updated 2 years ago
- ☆41Updated 3 weeks ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 3 years ago
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆59Updated last year
- Code for the paper "A Lightweight Framework for Function Name Reassignment Based on Large-Scale Stripped Binaries"☆15Updated 4 years ago