Papers I have collected and read in undergraduate and graduate period
☆56Sep 6, 2023Updated 2 years ago
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- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆14Feb 16, 2022Updated 4 years ago
- Implemention of "Piracy Resistant Watermarks for Deep Neural Networks" in TensorFlow.☆12Dec 5, 2020Updated 5 years ago
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Mar 13, 2023Updated 3 years ago
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- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 2 years ago
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆288Jan 11, 2025Updated last year
- Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'☆27Mar 16, 2022Updated 4 years ago
- The implementation of our IEEE S&P 2024 paper "Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples".☆11Jun 28, 2024Updated last year
- Implementation of Adversarial Attacks on GMM i-vector based Speaker Verification Systems (ICASSP2020) https://arxiv.org/abs/1911.03078☆35Mar 9, 2020Updated 6 years ago
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- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Oct 8, 2020Updated 5 years ago
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- Code for the WWW21 paper "Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy"☆12Feb 15, 2021Updated 5 years ago
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆15May 18, 2024Updated last year
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- Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.☆24Aug 30, 2021Updated 4 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆21May 6, 2021Updated 4 years ago
- Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons☆15Jan 13, 2023Updated 3 years ago
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- Official Implementation for "Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models" (IE…☆28Mar 24, 2025Updated last year
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- This repository was created as an implementation approach for a project on "Watermarking Deep Neural Networks".☆29Nov 16, 2020Updated 5 years ago
- QuantificationLib is an open-source library for quantification learning.☆12Apr 6, 2024Updated 2 years ago