Refer to Google Scholar or my CV for latest updates.

• Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity
  Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi
  Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
  (Non-archival) Workshop on Building Trust in LLMs and LLM Applications (BuildingTrust@ICLR2025)
  [arxiv] [pdf] [poster]
• Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
  Cléa Chataigner*, Rebecca Ma*, Prakhar Ganesh, Yuhao Chen, Afaf Taïk, Elliot Creager, Golnoosh Farnadi
  Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
  [arxiv] [pdf]
• SoK: Data Minimization in Machine Learning
  Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski
  IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2026)
  [arxiv] [pdf]
• Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity
  Prakhar Ganesh, Hsiang Hsu, Golnoosh Farnadi
  Preprint
  [arxiv]
• Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
  Prakhar Ganesh, Afaf Taik, Golnoosh Farnadi
  AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025)
  [paper] [pdf] [poster]
• Towards More Realistic Extraction Attacks: An Adversarial Perspective
  Yash More*, Prakhar Ganesh*, Golnoosh Farnadi
  Transactions of the Association for Computational Linguistics (TACL), 2025
  (Non-archival) Workshop on Privacy in Natural Language Processing (PrivateNLP@ACL2024)
  [paper] [pdf] [poster]
• The Data Minimization Principle in Machine Learning
  Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto
  ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025)
  (Contributed Talk) (Non-Archival) Workshop on Regulatable ML (RegML@NeurIPS2024)
  (Non-Archival) Workshop on Generative AI + Law (GenLaw@ICML2024)
  [paper] [pdf] [slides] [poster] [video]
• Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
  Prakhar Ganesh*, Usman Gohar*, Lu Cheng, Golnoosh Farnadi
  (Spotlight Presentation) Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME@NeurIPS2024)
  [paper] [pdf] [slides] [poster] [video]
• An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification
  Prakhar Ganesh
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)
  [paper] [pdf] [slides] [poster] [video]
• On the Impact of Machine Learning Randomness on Group Fairness
  Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri
  (Best Paper Award) ACM Conference on Fairness, Accountability, and Transparency (FAccT 2023)
  [paper] [pdf] [slides] [video]
• Compressing Large-Scale Transformer-Based Models : A Case Study on BERT
  Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin “David” Yang, Hassan Sajjad, Preslav Nakov, Deming Chen, Marianne Winslett
  Transactions of the Association for Computational Linguistics (TACL), 2021
  Presented at Association for Computational Linguistics (ACL 2022)
  [paper] [pdf] [slides] [poster] [video]
• YOLO-ReT: Towards High Accuracy Real-time Object Detection on Mobile GPUs
  Prakhar Ganesh*, Yao Chen*, Yin “David” Yang, Deming Chen, Marianne Winslett
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022)
  [paper] [pdf] [code] [slides] [poster] [video]
• HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management And Computation
  Yao Chen, Xinheng Liu, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen
  27th Asia and South Pacific Design Automation Conference (ASP-DAC 2022)
  [paper] [pdf]
• Free Lunch for Co-Saliency Detection: Context Adjustment
  Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Le Zhang, Yao Chen
  Preprint
  [arxiv] [pdf]
• Learning-based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems
  Prakhar Ganesh, Xin Lou, Yao Chen, Rui Tan, David K.Y. Yau, Deming Chen, Marianne Winslett
  IEEE Transactions on Smart Grid, 2021
  [paper] [pdf] [code] [slides]
• Assessing and Mitigating Impact of Time Delay Attack: Case Studies for Power Grid Controls
  Xin Lou, Cuong Tran, Rui Tan, David K.Y. Yau, Zbigniew T. Kalbarczyk, Ambarish Kumar Banerjee, Prakhar Ganesh
  IEEE Journal on Selected Areas in Communications, 2020
  [paper] [pdf]
• Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization
  Prakhar Ganesh, Saket Dingliwal
  Preprint
  [arxiv] [pdf]