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Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries


Oct 19, 2022
Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein

* Code is available at https://github.com/YuxinWenRick/canary-in-a-coalmine 

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Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning


Oct 17, 2022
Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein

* Code is available at \url{https://github.com/YuxinWenRick/thinking-two-moves-ahead

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Surface Reconstruction from Point Clouds: A Survey and a Benchmark


May 05, 2022
Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia


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Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification


Feb 01, 2022
Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein

* First three authors contributed equally, order chosen randomly. 21 pages, 9 figures 

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Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models


Jan 29, 2022
Liam Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojtek Czaja, Micah Goldblum, Tom Goldstein

* First two authors contributed equally. Order chosen by coin flip 

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Machine Learning based Medical Image Deepfake Detection: A Comparative Study


Sep 27, 2021
Siddharth Solaiyappan, Yuxin Wen


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Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds


Dec 14, 2020
Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia


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Deep Optimized Priors for 3D Shape Modeling and Reconstruction


Dec 14, 2020
Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia


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Towards Understanding the Regularization of Adversarial Robustness on Neural Networks


Nov 15, 2020
Yuxin Wen, Shuai Li, Kui Jia

* Published as a conference paper at ICML 2020 

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Geometry-aware Generation of Adversarial and Cooperative Point Clouds


Dec 24, 2019
Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia


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