I am an Assistant Professor in the Computer Science Department at University of Illinois at Urbana-Champaign. My research focuses on machine learning, security, privacy, and game theory. Specifically, much of our work aims at exploring vulnerabilities of machine learning systems to various adversarial attacks, and endeavors to develop real-world robust learning systems.
The long-term goal for our group, Secure learning lab (SL2), is to make machine learning algorithms more robust, private, efficient, and interpretable. We have worked on exploring different types of adversarial attacks including evasion and poisoning attacks in digital and physical worlds with different constraints. We have developed and will continue to explore robust learning algorithms based on game theory, prior knowledge of data distribution, as well as properties of learning tasks. Our work directly benefits applications such as computer vision, natural language process, audio recognition, and privacy preserving machine learning systems.
For Prospective Students: I'm looking for motivated research interns, PhDs and postdocs who are interested and experienced in machine learning, optimization, and security. Please fill out the form if you are interested.
Recent News
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[02/22] We got the
"Dean's Award for Excellence in Research".
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[02/22] We got the
"C.W. Gear Outstanding Junior Faculty Award".
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[02/22] Our group won the "Alfred P. Sloan Fellowship in Computer Science".
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[08/21] We got the
"2021 Facebook Research Award".
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[05/21] Workshop "A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning" in ICML 2021. Please submit your papers
here and win the best paper award!
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[04/21] We got the
"2020 recipients of AWS Amazon Research Award".
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[02/21] "Security and Safety in Machine Learning Systems" workshop in ICLR 2021. Please submit your papers
here and win the best paper award!
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[02/21] "Workshop on Adversarial Machine
Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV)" in CVPR 2021. Please submit your papers
here
and win the best paper award!
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[10/20] I got the
"Intel’s 2020 Rising Star Faculty Award Recognizing 10 Leading Researchers".
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[07/20] We got the
"2019 Q4 recipients of AWS Machine Learning Research Awards".
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[06/20] I'm selected as one of the
MIT Technology Review list of 35 Innovators Under 35,
2020.
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[02/20] Workshop "Adversarial Machine Learning in Computer
Vision" in CVPR 2020. Please submit your papers
here
and win the best paper award!
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[12/19] We have
four papers
accepted to ICLR 2020.
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[08/19] Our generated physical adversarial Stop Sign used in
our CVPR’18 is
on display at Science Museum in London.
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[08/19]“Efficient Task-Specific Data Valuation for Nearest
Neighbor Algorithms”
is accepted in VLDB 2019.
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[08/19]“AdvIt: Adversarial Frames Identifier Based on Temporal
Consistency in Videos”
is accepted in ICCV 2019.
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[06/19] Our paper:
"Adversarial Objects Against LiDAR-Based Autonomous
Driving Systems"
is reported by
JiQiZhiXin
QbitAI
and is discussed at
Reddit [1],
[2].
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[06/19] Our paper:
"SemanticAdv: Generating Adversarial Examples via
Attribute-conditional Image Editing"
is reported by
JiQiZhiXin
.
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[05/19] Workshop "Security and Privacy of Machine Learning"
in ICML 2019. Please submit your papers
here
and win the best paper award!
-
[05/19] Workshop "Adversarial Machine Learning in
Real-World Computer Vision Systems" in CVPR 2019. Please
submit your papers
here!
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[05/19] Our paper "Realistic Adversarial Examples in 3D Meshes" is accepted in CVPR 2019 as oral presentation!
Congratulations to Chaowei and Dawei!
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[05/19] Our paper "Generating 3D Adversarial Point Clouds" is accepted in CVPR 2019!
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[02/19] Our paper "How You Act Tells a Lot:
Privacy-Leakage Attack on Deep Reinforcement Learning"
got accepted in AAMAS 2019 as oral presentation!
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[01/19] Our paper "Towards Efficient Data Valuation
Based on the Shapley Value" got accepted in AISTATS 2019!
Check it out if you want to know which data contribute more
to your model!
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[04/19] Our paper "Characterizing Audio Adversarial
Examples Using Temporal Dependency" got accepted in ICLR
2019.