Pin-Yu Chen

Active 2010–2026

Also published as
Pin‐Yu Chen
499
Papers
23,171
Citations
66
h-index
234
i10-index

Citations

Citations per year for Pin-Yu Chen1971: 1 citations1983: 1 citations1998: 1 citations2009: 2 citations2010: 2 citations2011: 7 citations2012: 20 citations2013: 48 citations2014: 53 citations2015: 62 citations2016: 102 citations2017: 113 citations2018: 267 citations2019: 469 citations2020: 888 citations2021: 1,133 citations2022: 1,108 citations2023: 1,297 citations2024: 1,908 citations2025: 2,318 citations2026: 950 citations2027: 1 citations1972–1982: no citations, so these years are not shown1984–1997: no citations, so these years are not shown1999–2008: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,256 citing papers, 25% of this breakdownChina: 2,128 citing papers, 23.5% of this breakdownUnited Kingdom: 472 citing papers, 5.2% of this breakdownGermany: 350 citing papers, 3.9% of this breakdownAustralia: 294 citing papers, 3.3% of this breakdownSingapore: 225 citing papers, 2.5% of this breakdownHong Kong: 219 citing papers, 2.4% of this breakdownCanada: 218 citing papers, 2.4% of this breakdownIndia: 217 citing papers, 2.4% of this breakdownSouth Korea: 194 citing papers, 2.1% of this breakdownItaly: 189 citing papers, 2.1% of this breakdownFrance: 183 citing papers, 2% of this breakdown
0%25%Other 23.2%

Fields

  • Computer Science75.1%
  • Engineering6.6%
  • Medicine3.1%
  • Social Sciences3%
  • Decision Sciences2.8%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • Other7.5%

Topics

  • Adversarial Robustness in Machine Learning13.7%
  • Anomaly Detection Techniques and Applications5%
  • Explainable Artificial Intelligence (XAI)3.8%
  • Topic Modeling3.7%
  • Advanced Malware Detection Techniques3.2%
  • Advanced Neural Network Applications2.5%
  • Other68.1%

Coauthors

All papers

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  1. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

    Authors: , , , , , , - ICLR 2024 cited by 1,292

  2. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

    Authors: , , , , , , , , , , - AI for Time Series, ICLR 2024 cited by 1,079

  3. ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models

    Authors: , , , , - Workshop on Artificial Intelligence and Security, AISec@CCS 2017 cited by 1,745

  4. TrustLLM: Trustworthiness in Large Language Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao - arXiv (Cornell University), CoRR 2024 cited by 410

  5. Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

    Authors: , , , , , , , , , , , - ICLR 2025 cited by 376

  6. Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations

    Authors: , , , , , , , , , , , , , , - Nature Biomedical Engineering 2021 cited by 392

  7. One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

    Authors: , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2019 cited by 316

  8. Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?

    Authors: , , , , , , , , - ICLR 2024 cited by 249

  9. A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications

    Authors: , , , , , - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2020 cited by 176

  10. Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts

    Authors: , , , , - ICML 2024 cited by 177

  11. Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

    Authors: , , , , , , , , , , , , - ICML 2024 cited by 147

  12. Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

    Authors: , , , , , , - Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019 cited by 336

  13. On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin‐Yu Chen, Bo Li, Song, Dawn, Xiangliang Zhang - ArXiv.org, CoRR 2025 cited by 52

  14. Efficient Neural Network Robustness Certification with General Activation Functions

    Authors: , , , , - NeurIPS 2018 cited by 939

  15. Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models

    Authors: , , , , , - arXiv (Cornell University), CoRR 2024 cited by 51

  16. Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States

    Authors: , , , , , , - AAAI Conference on Artificial Intelligence 2020 cited by 168

  17. Vision Transformers Are Robust Learners

    Authors: , - AAAI Conference on Artificial Intelligence 2022 cited by 211

  18. Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

    Authors: , , , , , - Lecture notes in computer science, ECCV (12) 2018 cited by 362

  19. Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

    Authors: , , , , , , , - ICLR (Poster) 2018 cited by 524

  20. RADAR: Robust AI-Text Detection via Adversarial Learning

    Authors: , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 278

  21. When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing

    Authors: , , , , - ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022 cited by 61

  22. DBA: Distributed Backdoor Attacks against Federated Learning

    Authors: , , , - International Conference on Learning Representations, ICLR 2020 cited by 950

  23. On the Adversarial Robustness of Vision Transformers

    Authors: , , , , - Trans. Mach. Learn. Res. 2022 cited by 126

  24. Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks

    Authors: , , , - arXiv (Cornell University), CoRR 2024 cited by 39