Papers I have collected and read in undergraduate and graduate period
☆56Sep 6, 2023Updated 2 years ago
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- 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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- The official implementation of the paper "Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks".☆19Apr 19, 2024Updated last year
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- Network Simulation of jitter, packet loss and time delay☆13Jul 16, 2018Updated 7 years ago
- Code of paper "AdvReverb: AdvReverb: Rethinking the Stealthiness of Audio Adversarial Examples to Human Perception"☆20Nov 26, 2023Updated 2 years ago
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- Code for the paper: Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions☆11Mar 13, 2024Updated 2 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- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆288Jan 11, 2025Updated last year
- An SDC Practice Guide☆12Nov 10, 2025Updated 5 months 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
- Code for the CVPR '23 paper, "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"☆10Jun 9, 2023Updated 2 years ago
- 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
- This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…☆25Sep 29, 2023Updated 2 years ago
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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
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- Source code and scripts for the paper "Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks"☆20Dec 10, 2024Updated last year
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