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Published in IEEE Transactions on Industry Applications, 2019
This paper is about day-ahead scheduling of hydro and wind power generation system.
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Published in IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2020
This paper is about hardware-based random number generator.
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Published in IEEE Communications Surveys & Tutorials (IEEE COMST), 2021
This paper is about systemization of cyber-physical attacks.
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Published in ACM Conference on Computer and Communications Security (CCS), 2021
This paper is about automatic auditing of privacy regulations.
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Published in IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022
This paper is about automatic generation of GhostTouch attacks against capacitive touch screen.
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Published in ACM Conference on Computer and Communications Security (CCS), 2022
This paper is about generating and deliverying adversarial audio examples over IP network.
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Published in ACM Conference on Computer and Communications Security (CCS), 2022
This paper is about using machine learning to detect hidden spy cameras within thermal images.
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Published in IEEE Real-Time Systems Symposium (RTSS), 2022
This paper is about generting resource contention attack with primitives across multiple architectural and kernel-based channels.
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Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
This paper is about delaying LiDAR processing via adversarial purterbations on point clouds.
Published in International Conference on Machine Learning, 2023
This paper is about measuring potential intellectual property infringement of code generation models.
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Published in USENIX Security Symposium, 2023
This paper is about generating semantic adversarial audio examples by perturbing prosody attributes.
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Published in USENIX Security Symposium, 2023
This paper is about a defense-in-depth approach for medical 3D printing, leveraging medical CT and computational graphic techniques.
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Published in ACM Conference on Computer and Communications Security (CCS), 2023
This paper is about a proactive defense against unauthorized speech synthesis (DeepFake) attacks.
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Published in IEEE Symposium on Security and Privacy (SP), 2024
This paper is about membership inference attacks with the aid of XAI techniques.
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Published in USENIX Security Symposium, 2024
This paper is about investigating LLM jailbreak threats, from the perspective of empirical evaluation and automatic generation.
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Graduate course, Washington University in St. Louis, Department of Computer Science and Engineering, 2022
Designed a lab module about physically realizable adversarial machine learning attack against autonomous vehicles (AVs). The students were guided to train and generate adversarial patches to be physically attached on stop sign and human body, such that they would not be recognized by Yolo recognition algorithm equipped on AVs. Real world experiments were conducted on a set-up Adeept Rasptank car in a simulated city.