Please refer to Google Scholar for latest updates.

• Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
  Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi
  Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME@NeurIPS2024)
  [coming soon]
• Towards More Realistic Extraction Attacks: An Adversarial Perspective
  Yash More, Prakhar Ganesh, Golnoosh Farnadi
  (Non-archival) Workshop on Privacy in Natural Language Processing (PrivateNLP@ACL2024)
  [arxiv] [pdf]
• The Data Minimization Principle in Machine Learning
  Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto
  (Non-Archival) Workshop on Generative AI + Law (GenLaw@ICML2024)
  [arxiv] [pdf]
• 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
  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 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]