NISPLab / CleanSheetLinks
Code and full version of the paper "Hijacking Attacks against Neural Network by Analyzing Training Data"
☆14Updated last year
Alternatives and similar repositories for CleanSheet
Users that are interested in CleanSheet are comparing it to the libraries listed below
Sorting:
- Code for ML Doctor☆92Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Updated last year
- ☆21Updated 2 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆31Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆83Updated 2 years ago
- ☆27Updated 2 years ago
- This is the source code for MEA-Defender. Our paper is accepted by the IEEE Symposium on Security and Privacy (S&P) 2024.☆29Updated 2 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago
- ☆70Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- ☆36Updated last year
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆39Updated 2 years ago
- ☆26Updated last year
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated 5 months ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆79Updated 2 years ago
- ☆21Updated last year
- ☆27Updated 3 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆49Updated last year
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆60Updated last year
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆46Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Updated 2 years ago
- ☆32Updated 3 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆33Updated 5 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆30Updated 2 years ago
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆20Updated last year
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆23Updated 2 years ago
- [S&P'24] Test-Time Poisoning Attacks Against Test-Time Adaptation Models☆19Updated 10 months ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆18Updated 6 years ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆28Updated 4 years ago