Conferences:

🤖↔️🤖 Multi-entity

• Privacy & Security Robustness
  SLVR: Securely Leveraging Client Validation for Robust Federated Learning
  Jihye Choi, Rahul Rachuri, Ke Wang, Somesh Jha, Yizhen Wang
  Under Submission
  

• Explainability
  Multi-user Personalization with Collaborative LLM-powered Agents
  Christine P Lee^*, Jihye Choi^*, Bilge Mutlu
  Under Submission
  

• Explainability
  MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
  Jihye Choi^*, Nils Palumbo^*, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page
  MLHC, 2024
  BibTeX / code / blog

  @inproceedings{choi2024malade,
    title        = {{MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance}},
    author       = {Jihye Choi and Nils Palumbo and Prasad Chalasani and Matthew M. Engelhard and Somesh Jha and Anivarya Kumar and David Page},
    booktitle    = {Proceedings of the Machine Learning for Healthcare Conference (MLHC)},
    year         = {2024},
    url          = {https://arxiv.org/abs/2408.01869}
  }
          

• Privacy & Security
  PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
  Neal Mangaokar^*, Ashish Hooda^*, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
  ACL (Long), 2024
  BibTeX / code

  @inproceedings{mangaokar-etal-2024-prp,
      title = "{PRP}: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails",
      author = "Mangaokar, Neal  and
        Hooda, Ashish  and
        Choi, Jihye  and
        Chandrashekaran, Shreyas  and
        Fawaz, Kassem  and
        Jha, Somesh  and
        Prakash, Atul",
      editor = "Ku, Lun-Wei  and
        Martins, Andre  and
        Srikumar, Vivek",
      booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
      month = aug,
      year = "2024",
      address = "Bangkok, Thailand",
      publisher = "Association for Computational Linguistics",
      url = "https://aclanthology.org/2024.acl-long.591",
      pages = "10960--10976",
  }
          

🤖 Single-entity

• Robustness Explainability
  Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
  Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha
  Preprint / ICML Workshop on Foundation Models in the Wild, 2024
  BibTeX

  @article{choi2024adaptive,
    title={Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts},
    author={Choi, Jihye and Raghuram, Jayaram and Li, Yixuan and Jha, Somesh},
    journal={arXiv preprint arXiv:2412.14097},
    year={2024}
  }
          

• Privacy & Security
  Why Train More? Effective and Efficient Membership Inference via Memorization
  Jihye Choi, Varun Chandrasekaran, Shruti Tople, Somesh Jha
  Preprint
  BibTeX

  @article{choi2023train,
    title={Why train more? effective and efficient membership inference via memorization},
    author={Choi, Jihye and Tople, Shruti and Chandrasekaran, Varun and Jha, Somesh},
    journal={arXiv preprint arXiv:2310.08015},
    year={2023}
  }
          

• Robustness Explainability
  Concept-based Explanations for Out-of-Distribution Detectors
  Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
  ICML, 2023
  BibTeX / code

  @inproceedings{choi2023concept,
    title={Concept-based explanations for out-of-distribution detectors},
    author={Choi, Jihye and Raghuram, Jayaram and Feng, Ryan and Chen, Jiefeng and Jha, Somesh and Prakash, Atul},
    booktitle={International Conference on Machine Learning},
    pages={5817--5837},
    year={2023},
    organization={PMLR}
  }
          

• Robustness
  Stratified Adversarial Robustness with Rejection
  Jiefeng Chen^*, Jayaram Raghuram^*, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
  ICML, 2023
  BibTeX / code

  @inproceedings{
  chen2023stratified,
  title={Stratified Adversarial Robustness with Rejection},
  author={Jiefeng Chen and Jayaram Raghuram and Jihye Choi and Xi Wu and Yingyu Liang and Somesh Jha},
  booktitle={International Conference on Machine Learning},
  year={2023}
  }
          

• Robustness
  Rethinking Diversity in Deep Neural Network Testing
  Zi Wang, Jihye Choi, Ke Wang, Somesh Jha
  Preprint
  BibTeX

  @article{wang2023rethinking,
    title={Rethinking Diversity in Deep Neural Network Testing},
    author={Wang, Zi and Choi, Jihye and Wang, Ke and Jha, Somesh},
    journal={arXiv preprint arXiv:2305.15698},
    year={2023}
  }
          

• Robustness
  Revisiting Adversarial Robustness of Classifiers With a Reject Option
  Jiefeng Chen^*, Jayaram Raghuram^*, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
  AAAI Workshop on Adversarial Machine Learning and Beyond, 2022 / 🏆 Best Paper Award
  BibTeX

  @inproceedings{chen2022revisiting,
    title={Revisiting adversarial robustness of classifiers with a reject option},
    author={Chen, Jiefeng and Raghuram, Jayaram and Choi, Jihye and Wu, Xi and Liang, Yingyu and Jha, Somesh},
    booktitle={The AAAI-22 Workshop on Adversarial Machine Learning and Beyond}
  }
          

Journals:

• Privacy & Security
  Identifying and Mitigating the Security Risks of Generative AI
  Clark Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, ..., Dawn Song, Ankur Taly, Diyi Yang
  Foundations and Trends in Privacy and Security, Vol. 6: No. 1, pp 1-52, 2023
  BibTeX

  @article{barrett2023identifying,
    title={Identifying and mitigating the security risks of generative ai},
    author={Barrett, Clark and Boyd, Brad and Bursztein, Elie and Carlini, Nicholas and Chen, Brad and Choi, Jihye and Chowdhury, Amrita Roy and Christodorescu, Mihai and Datta, Anupam and Feizi, Soheil and others},
    journal={Foundations and Trends{\textregistered} in Privacy and Security},
    volume={6},
    number={1},
    pages={1--52},
    year={2023},
    publisher={Now Publishers, Inc.}
  }