Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Xi Wu

Towards Adversarial Robustness via Transductive Learning


Jun 15, 2021
Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha


  Access Paper or Ask Questions

Transferable Adversarial Examples for Anchor Free Object Detection


Jun 04, 2021
Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Bin Zhu, Youbing Yin, Qi Song, Xi Wu

* Accepted as oral in ICME 2021 

  Access Paper or Ask Questions

Imperceptible Adversarial Examples for Fake Image Detection


Jun 03, 2021
Quanyu Liao, Yuezun Li, Xin Wang, Bin Kong, Bin Zhu, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu

* Accepted by ICIP 2021 

  Access Paper or Ask Questions

Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis


May 06, 2021
Yuchen Fei, Bo Zhan, Mei Hong, Xi Wu, Jiliu Zhou, Yan Wang


  Access Paper or Ask Questions

Fast Local Attack: Generating Local Adversarial Examples for Object Detectors


Oct 27, 2020
Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu

* Published in: 2020 International Joint Conference on Neural Networks (IJCNN) 

  Access Paper or Ask Questions

ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease


Oct 16, 2020
Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang

* 27 pages, 10 figures 

  Access Paper or Ask Questions

Robust Out-of-distribution Detection via Informative Outlier Mining


Jun 26, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha


  Access Paper or Ask Questions

DSU-net: Dense SegU-net for automatic head-and-neck tumor segmentation in MR images


Jun 12, 2020
Pin Tang, Chen Zu, Mei Hong, Rui Yan, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang

* This research needs to be advanced in the future 

  Access Paper or Ask Questions

Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation


Apr 22, 2020
Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani

* 25 pages, 6 figures 

  Access Paper or Ask Questions

Robust Out-of-distribution Detection for Neural Networks


Apr 05, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha


  Access Paper or Ask Questions

Robust Out-of-distribution Detection in Neural Networks


Mar 24, 2020
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha


  Access Paper or Ask Questions

Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection


Feb 10, 2020
Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu


  Access Paper or Ask Questions

Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning


Jan 29, 2020
Shanhui Sun, Jing Hu, Mingqing Yao, Jinrong Hu, Xiaodong Yang, Qi Song, Xi Wu

* Asian Conference on Computer Vision (ACCV). 2018. 511-526 

  Access Paper or Ask Questions

Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment


Aug 05, 2019
Yifei Huang, Matt Shum, Xi Wu, Jason Zezhong Xiao

* International Workshop of Talent and Management Computing, KDD 2019 

  Access Paper or Ask Questions

Enhancing ML Robustness Using Physical-World Constraints


May 26, 2019
Varun Chandrasekaran, Brian Tang, Varsha Pendyala, Kassem Fawaz, Somesh Jha, Xi Wu


  Access Paper or Ask Questions

Robust Attribution Regularization


May 23, 2019
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha


  Access Paper or Ask Questions

Adversarial Learning and Explainability in Structured Datasets


Oct 26, 2018
Prasad Chalasani, Somesh Jha, Aravind Sadagopan, Xi Wu

* 33 pages, 20 figures, 2 tables 

  Access Paper or Ask Questions

Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training


Jun 08, 2018
Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha

* To appear in ICML 2018 

  Access Paper or Ask Questions

Improving Adversarial Robustness by Data-Specific Discretization


May 25, 2018
Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha


  Access Paper or Ask Questions

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics


Mar 23, 2017
Xi Wu, Fengan Li, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton


  Access Paper or Ask Questions

When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding


Mar 01, 2017
Fengan Li, Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xi Wu


  Access Paper or Ask Questions

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks


Mar 14, 2016
Nicolas Papernot, Patrick McDaniel, Xi Wu, Somesh Jha, Ananthram Swami


  Access Paper or Ask Questions

Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences


Dec 20, 2015
Xi Wu, Matthew Fredrikson, Wentao Wu, Somesh Jha, Jeffrey F. Naughton


  Access Paper or Ask Questions