mmalekzadeh / honest-but-curious-nets
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
☆18Updated 2 years ago
Alternatives and similar repositories for honest-but-curious-nets:
Users that are interested in honest-but-curious-nets are comparing it to the libraries listed below
- ☆44Updated last year
- ☆64Updated 4 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆11Updated 3 years ago
- Universal Robustness Evaluation Toolkit (for Evasion)☆31Updated 10 months ago
- ☆11Updated 5 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆88Updated last year
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 2 years ago
- ☆23Updated last year
- ☆83Updated last year
- ☆18Updated 2 years ago
- Defending Against Backdoor Attacks Using Robust Covariance Estimation☆21Updated 3 years ago
- Code for the paper titled "Adversarial Vulnerability of Randomized Ensembles" (ICML 2022).☆10Updated 2 years ago
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆17Updated last year
- kyleliang919 / Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferabilitycode for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.☆17Updated 2 years ago
- ☆23Updated 2 years ago
- Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"☆26Updated 3 years ago
- ☆9Updated 3 years ago
- ☆11Updated 2 years ago
- ☆45Updated 3 years ago
- ☆10Updated last year
- Morphence: An implementation of a moving target defense against adversarial example attacks demonstrated for image classification models …☆21Updated 5 months ago
- Defending against Model Stealing via Verifying Embedded External Features☆34Updated 2 years ago
- ☆25Updated 2 years ago
- ☆19Updated 3 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- Code for ML Doctor☆85Updated 5 months ago
- Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks☆42Updated 3 years ago
- Watermarking against model extraction attacks in MLaaS. ACM MM 2021.☆33Updated 3 years ago
- Bullseye Polytope Clean-Label Poisoning Attack☆14Updated 4 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆31Updated 2 years ago