JialinMao / private_CNN
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for private_CNN
- ☆13Updated last year
- ☆22Updated last year
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- ☆24Updated 2 years ago
- ☆32Updated 2 months ago
- ☆23Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- ☆19Updated last year
- ☆27Updated last year
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆31Updated 2 years ago
- ☆23Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆34Updated last year
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆9Updated 5 years ago
- verifying machine unlearning by backdooring☆18Updated last year
- Camouflage poisoning via machine unlearning☆15Updated last year
- Code for Auditing DPSGD☆35Updated 2 years ago
- ☆19Updated 2 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆46Updated 2 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 5 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆12Updated 2 years ago
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆28Updated last week
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 2 years ago
- ☆45Updated 5 years ago
- ☆12Updated 3 years ago
- ☆9Updated 3 years ago
- ☆16Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆24Updated this week
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆12Updated 3 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆31Updated 2 months ago