Yisheng Zhong
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    • CALIBURN Accepted to EMNLP 2026 Main Conference
    • Summer 2026 Intern on the AI Team at The Washington Post
    • Presented DUET at ICLR 2026 in Rio de Janeiro
    • Paper Accepted to ICLR 2026!
    • Attended EMNLP 2025 in Suzhou, China
    • Serving as Reviewer for TIFS and ICLR 2026
    • Paper Accepted to EMNLP 2025 Main Conference
    • Presented Poster at USENIX Security 2025 in Seattle
    • Serving as Reviewer for ICLR 2025
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    • CALIBURN: Self-Calibrated LLM Unlearning Alignment
    • DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher
    • Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models
    • PROFL: A Privacy-Preserving Federated Learning Method with Stringent Defense Against Poisoning Attacks
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    • DUET — ICLR 2026 Accepted
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Presented Poster at USENIX Security 2025 in Seattle

Aug 2025·
Yisheng (Eason) Zhong
Yisheng (Eason) Zhong
· 1 min read
USENIX Security 2025 Poster Session

We presented our research poster at the USENIX Security Symposium 2025 in Seattle, Washington, showcasing our work on LLM security and privacy.

Last updated on Aug 2025
Conference USENIX Security Poster
Yisheng (Eason) Zhong
Authors
Yisheng (Eason) Zhong
PhD Student in Cybersecurity
← Paper Accepted to EMNLP 2025 Main Conference Sep 2025
Serving as Reviewer for ICLR 2025 Oct 2024 →

© 2026 Yisheng (Eason) Zhong. This work is licensed under CC BY NC ND 4.0

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