Yunhan Jia

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 12

Top Topics

Machine Learning

Affine Transformation

Transformation Model

Top Venues

Int. J. Intell. Syst.

USENIX Security Symposium

Publications

Tianyu Du, Shouling Ji, Bo Wang, Sirui He, Jinfeng Li, Bo Li, Tao Wei, Yunhan Jia, Raheem Beyah, Ting Wang
DetectS ec: Evaluating the robustness of object detection models to adversarial attacks. Int. J. Intell. Syst. 37 (9) (2022)
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. USENIX Security Symposium (2021)
Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. CVPR (2020)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable machine learning in deployment. FAT* (2020)
Yunhan Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Hao Chen, Zhenyu Zhong, Tao Wei
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking. ICLR (2020)
Bai Li, Shiqi Wang, Yunhan Jia, Yantao Lu, Zhenyu Zhong, Lawrence Carin, Suman Jana
Towards Practical Lottery Ticket Hypothesis for Adversarial Training. CoRR (2020)
Dou Goodman, Xin Hao, Yang Wang, Jiawei Tang, Yunhan Jia, Pei Wang, Tao Wei
ABSTRACT: Cloud-based Image Classification Service is Not Robust to Affine Transformation: A Forgotten Battlefield. CCSW@CCS (2019)
Yunhan Jia, Yantao Lu, Senem Velipasalar, Zhenyu Zhong, Tao Wei
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction. CoRR (2019)
Yunhan Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Zhenyu Zhong, Tao Wei
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking. CoRR (2019)
Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction. CoRR (2019)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable Machine Learning in Deployment. CoRR (2019)
Shichang Xu, Subhabrata Sen, Zhuoqing Morley Mao, Yunhan Jia
Dissecting VOD services for cellular: performance, root causes and best practices. Internet Measurement Conference (2017)
Sanae Rosen, Hongyi Yao, Ashkan Nikravesh, Yunhan Jia, David R. Choffnes, Zhuoqing Morley Mao
Demo: Mapping global mobile performance trends with mobilyzer and mobiPerf. MobiSys (2014)