wuyinjun-1993 / DeltaGrad
☆27Updated 2 years ago
Related projects: ⓘ
- ☆31Updated 2 weeks ago
- Code for Auditing DPSGD☆30Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- ☆25Updated 5 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆9Updated 5 years ago
- ☆17Updated last year
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 5 years ago
- ☆26Updated last year
- ☆21Updated 3 years ago
- ☆45Updated 4 years ago
- ☆21Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Updated 4 years ago
- Pytorch implementation of backdoor unlearning.☆15Updated 2 years ago
- ☆10Updated 2 years ago
- Learning rate adaptation for differentially private stochastic gradient descent☆16Updated 3 years ago
- ☆23Updated last year
- ☆9Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆45Updated 2 years ago
- ☆22Updated 2 years ago
- Certified Removal from Machine Learning Models☆62Updated 3 years ago
- A simple wrapper for the PATE analysis for Differential Privacy by Papernot, Song et al.☆9Updated 4 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 4 years ago
- Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)☆15Updated 11 months ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆22Updated 4 years ago
- ☆15Updated 4 years ago
- ☆12Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆45Updated 2 years ago
- verifying machine unlearning by backdooring☆18Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆47Updated 5 years ago