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Yizhu Wen — Ph.D. student in Computer Science at Indiana University Bloomington, working on AI security.
Published in IEEE Electron Device Letters (IEEE EDL'24), 2024
Independent modulation of discrete-time Markov chain signals generated from the tunneling magnetoresistance effect.
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Published in IEEE International Conference on Multimedia and Expo (ICME'24), 2024
A denoising diffusion probabilistic model for imputing missing values in tabular data, with four tailored denoising backbones (MLP, ResNet, Transformer, U-Net).
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Published in International Conference on Computing, Networking and Communications (ICNC'25), 2025
Uses an intelligent reflecting surface to defend integrated sensing and communication systems against adversarial physical-layer sensing.
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Published in Conference on Empirical Methods in Natural Language Processing, Main Conference (EMNLP'25), 2025
Protecting web content from being retrieved and reused in real time by large language models without authorization.
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Published in IEEE Symposium on Security and Privacy Workshops, ArtSec (IEEE S&P'26 Workshops), 2026
Poisoning the captions in a retrieval corpus steers a retrieval-augmented text-to-music pipeline toward an attacker’s target while staying aligned with the user’s query.
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Published in International Conference on Machine Learning (ICML'26), 2026
A position paper arguing that the governance of Generative Engine Optimization must target market concentration, disclosure, and blind spots in academic evaluation.
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Published in The 9th ACM/IEEE Workshop on Security and Privacy in Edge Computing (EdgeSP'26), 2026
A real-time acoustic watermarking scheme that runs on commodity smartphones to defend against voice scams.
Published in The 9th ACM/IEEE Workshop on Security and Privacy in Edge Computing (EdgeSP'26), 2026
Continuously verifies that a real human — not an automated AI agent — is present at a device, using ultrasound sensing.
Published in Under review, 2027
Choosing surrogate models for black-box attacks on self-supervised speech recognition by exploiting adversarial transfer patterns.
Published in Under review, 2027
A retrieval-augmented audio LLM for classifying cardiopulmonary conditions from auscultation recordings.
Published in Under review, 2027
Defending hierarchical, permission-aware retrieval-augmented generation against poisoning that crosses permission tiers.
Published in Under review, 2027
A prompt-injection attack that pairs a claim with fabricated supporting evidence to contaminate specific answers in RAG pipelines.
Published in Under review, 2027
Knowledge poisoning attacks against retrieval-augmented multimodal reasoning in audio-centric language models.
Published in Under review, 2027
Watermarking live voice communication in real time, for both synthetic-speech provenance and post-hoc attribution of recordings.
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Published in Under review, 2027
A taxonomy of 22 audio watermarking schemes and a large-scale measurement study across 22 classes of removal attacks (109 configurations). No surveyed scheme withstands all of them.
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