Prakhar Ganesh

According to our database, Prakhar Ganesh authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity.

Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

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

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

From Decisions to Multiplicity: Frameworks, Theories, and Applications.

Prakhar Ganesh

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity.

Prakhar Ganesh, Hsiang Hsu, Golnoosh Farnadi

CoRR, October, 2025

SoK: Data Minimization in Machine Learning.

Robin Staab, Nikola Jovanovic, Kimberly Mai, Prakhar Ganesh, Martin T. Vechev, Ferdinando Fioretto, Matthew Jagielski

CoRR, August, 2025

Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework.

Cléa Chataigner, Rebecca Ma, Prakhar Ganesh, Afaf Taïk, Elliot Creager, Golnoosh Farnadi

CoRR, May, 2025

The Curious Case of Arbitrariness in Machine Learning.

Prakhar Ganesh, Afaf Taïk, Golnoosh Farnadi

CoRR, January, 2025

Towards More Realistic Extraction Attacks: An Adversarial Perspective.

Yash More, Prakhar Ganesh, Golnoosh Farnadi

Trans. Assoc. Comput. Linguistics, 2025

The Data Minimization Principle in Machine Learning.

Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification.

Prakhar Ganesh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Model Multiplicity for Responsible AI.

Prakhar Ganesh

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Student Abstracts, October 21-23, 2024, San Jose, California, USA, 2024

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML.

Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi

Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 2024

2023

On The Impact of Machine Learning Randomness on Group Fairness.

Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs.

Prakhar Ganesh, Yao Chen, Yin Yang, Deming Chen, Marianne Winslett

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation.

Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

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 Trans. Smart Grid, 2021

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT.

Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Hassan Sajjad, Preslav Nakov, Deming Chen, Marianne Winslett

Trans. Assoc. Comput. Linguistics, 2021

Free Lunch for Co-Saliency Detection: Context Adjustment.

Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Yao Chen, Le Zhang

CoRR, 2021

2020

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 J. Sel. Areas Commun., 2020

2019

Literature Survey on Finding Influential Communities in Large Scale Networks.

Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal

CoRR, 2019

Abstractive Summarization of Spoken and Written Conversation.

Prakhar Ganesh, Saket Dingliwal

CoRR, 2019

2018

Deep Reinforcement Learning in High Frequency Trading.

Prakhar Ganesh, Puneet Rakheja

CoRR, 2018