Welcome!   I am a Ph.D. student in Computer Science at Cornell University, advised by Prof. Vitaly Shmatikov. My research focuses on the security and privacy aspects of machine learning. Previously, I graduated from University of Virginia with a B.A. in Computer Science, where I was very fortunate to work with Prof. Yuan Tian and Prof. David Evans.

Current News:

-📌 5 Dec 2024:   Gave a talk titled “Attacking and Defending Multi-Modal Representations” at the Security Seminar at the University of Virginia.
-📌 14 Aug 2024:   Our paper “Adversarial illusions in multi-modal embeddings” received the Distinguished Paper Award at USENIX Security 2024.

Publications

Tingwei Zhang, Fnu Suya, Rishi Jha, Collin Zhang, Vitaly Shmatikov (2024). Adversarial Hubness in Multi-Modal Retrieval. Preprint, 2024.

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Tingwei Zhang, Rishi Jha, Eugene Bagdasaryan, Vitaly Shmatikov (2024). Adversarial Illusions in Multi-Modal Embeddings. USENIX Security, 2024 (Distinguished Paper Award).

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Collin Zhang, Tingwei Zhang, Vitaly Shmatikov (2024). Controlled Generation of Natural Adversarial Documents for Stealthy Retrieval Poisoning. Preprint, 2024.

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Tingwei Zhang, Collin Zhang, John X Morris, Eugene Bagdasaryan, Vitaly Shmatikov (2024). Soft Prompts Go Hard: Steering Visual Language Models with Hidden Meta-Instructions. Preprint, 2024.

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Suya Fnu, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans (2024). SoK: Pitfalls in Evaluating Black-Box Attacks. IEEE SaTML, 2024.

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