Pengfei He
428 S Shaw Ln Rm 3308
East Lansing, MI, 48824
I am a PhD student major in Computer Science and Engineering and minor in Probability and Statistics, at Michigan State University.
My research interests are robustness and safety of machine learning models, optimization and machine learning foundations. Currently, I am interested in evaluate the robustness of self-/un-supervised learning models, including diffusion models, large language models and text-image foundation models. Looking forward to communicating with people from different fields!
Stay Hungry. Stay Foolish!
news
| Nov 8, 2024 | Our work Stealthy Backdoor Attack via Confidence-driven Sampling is accepted to TMLR! |
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| Oct 21, 2024 | We preprint a new work A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration! |
| Oct 14, 2024 | We preprint a new work Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study! |
| Oct 10, 2024 | One paper(Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study) is accepted to M3L and SFLLM NeruIPS 2024! |
| Oct 1, 2024 | I will serve as the reviewer for ICLR 2025 and AISTAT 2025. |
| Sep 20, 2024 | Two papers( Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis; On the generalization of training-based chatgpt detection methods) accepted to EMNLP 2024! |
| Jun 3, 2024 | I start a new position as Research Intern at Alibaba Group(US) in Bellevue, WA. |
| May 16, 2024 | We have two papers( Exploring Memorization in Fine-tuned Language Models; The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)) accepted to ACL2024! |
| Feb 6, 2024 | We preprint a paper: Data Poisoning for In-context Learning |
| Feb 6, 2024 | We preprint a paper: Superiority of Multi-Head Attention in In-Context Linear Regression |
| Feb 5, 2024 | We release our survey paper about copyright: Copyright Protection in Generative AI: A Technical Perspective |
| Jan 16, 2024 | Our paper: Sharpness-aware Data Poisoning Attack is accepted as Spotlight (5%) by ICLR2024! |
| Oct 11, 2023 | We preprint a paper: Exploring Memorization in Fine-tuned Language Models. |
| Oct 10, 2023 | We preprint a paper: On the Generalization of Training-based ChatGPT Detection Methods. |
| Oct 10, 2023 | We preprint a paper: FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. |
| Oct 9, 2023 | We preprint a paper: Confidence-driven Sampling for Backdoor Attacks. |
| Sep 8, 2023 | Our paper Analyzing Illegal Psychostimulant Trafficking Networks Using Noisy and Sparse Data is on IISE Transactions now. |
| Jul 22, 2023 | I will serve as an external reviewer for ICDM 2023. |
| Jul 13, 2023 | I will serve as the PC member of AAAI’24. |
| May 25, 2023 | We preprint a paper: DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. |
| May 24, 2023 | We preprint a paper: Sharpness-aware Data Poisoning Attack. |
| Apr 24, 2023 | Our paper Probabilistic Categorical Adversarial Attack & Adversarial Training is accepted to ICML2023. |
| Apr 20, 2023 | Our paper Large sample spectral analysis of graph-based multi-manifold clustering is accepted to Journal of Machine Learning Research. |
| Dec 29, 2022 | I will serve as the PC member of KDD’23. |
| Sep 28, 2022 | We preprint a paper: Probabilistic Categorical Adversarial Attack & Adversarial Training. |
| Aug 15, 2022 | We hold a lecture-style tutorial about Adversarial Robustness and Poisoning Attacks in the KDD 2022. |
| Aug 10, 2022 | I will serve as the PC member of AAAI’23. |
| Aug 1, 2022 | Our paper PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations got accepted to CIKM’22. |
| Jul 14, 2021 | We preprint a paper: Large sample spectral analysis of graph-based multi-manifold clustering. |