Shawn-Shan / forensicsLinks
Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks
☆20Updated 3 years ago
Alternatives and similar repositories for forensics
Users that are interested in forensics are comparing it to the libraries listed below
Sorting:
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
- ☆19Updated last year
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- ☆68Updated 5 years ago
- ☆48Updated 4 years ago
- ☆27Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆52Updated 3 years ago
- [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling☆15Updated 10 months ago
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- ☆20Updated 3 weeks ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 2 years ago
- ☆46Updated 6 years ago
- Code for ML Doctor☆91Updated last year
- ☆13Updated 4 years ago
- [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks☆26Updated 7 months ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆73Updated 7 years ago
- Craft poisoned data using MetaPoison☆53Updated 4 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆20Updated 2 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆36Updated last year
- Code Implementation for Gotta Catch ’Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks☆32Updated 3 years ago
- ☆22Updated 3 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆48Updated 7 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 5 years ago
- ☆32Updated last year
- ☆19Updated 2 years ago