Publications

(2024). Stealthy Targeted Backdoor Attacks against Image Captioning. TIFS 2024.

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(2024). AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. ArXiv.

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(2023). What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?. NeurIPS 2023.

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(2023). Provably Robust Cost-Sensitive Learning via Randomized Smoothing. ArXiv.

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(2023). Transferable Availability Poisoning Attacks. ArXiv.

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(2023). Generating Less Certain Adversarial Examples Improves Robust Generalization. ArXiv.

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(2021). Incorporating Label Uncertainty in Intrinsic Robustness Measures. ICLR 2021 aisecure workshop.

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(2019). Empirically Measuring Concentration: Fundamental Limits to Intrinsic Robustness. NeurIPS 2019 (Spotlight).

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(2019). Learning One-hidden-layer ReLU Networks via Gradient Descent. AISTATS 2019.

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(2018). A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery. ICML 2018.

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(2018). A Unified Framework for Nonconvex Low-rank plus Sparse Matrix Recovery. AISTATS 2018.

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(2017). Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption. ArXiv.

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