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

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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