Debopam Sanyal

According to our database, Debopam Sanyal authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

2026

KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs.

Debopam Sanyal, Anantharaman Iyer, Alind Khare, Trisha Jain, Akshay Jajoo, Myungjin Lee, Clayton Kerce, Alexey Tumanov

CoRR, May, 2026

LayoutBench: Performance Benchmarking of Cloud Storage Layouts for Multimedia Data.

Debopam Sanyal, Hongjie Chen, Alexey Tumanov, Joshua Kimball

Proceedings of the Sixth European Workshop on Machine Learning and Systems, EuroMLSys 2026, 2026

2025

DPAR: Dynamic Patchification for Efficient Autoregressive Visual Generation.

Divyansh Srivastava, Akshay Mehra, Pranav Maneriker, Debopam Sanyal, Vishnu Raj, Vijay Kamarshi, Fan Du, Joshua Kimball

CoRR, December, 2025

Client Availability in Federated Learning: It Matters!

Dhruv Garg, Debopam Sanyal, Myungjin Lee, Alexey Tumanov, Ada Gavrilovska

Proceedings of the 5th Workshop on Machine Learning and Systems, 2025

VillainNet: Targeted Poisoning Attacks Against SuperNets Along the Accuracy-Latency Pareto Frontier.

David Oygenblik, Abhinav Vemulapalli, Animesh Agrawal, Debopam Sanyal, Alexey Tumanov, Brendan Saltaformaggio

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2023

Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems.

Debopam Sanyal, Jui-Tse Hung, Manav Agrawal, Prahlad Jasti, Shahab Nikkhoo, Somesh Jha, Tianhao Wang, Sibin Mohan, Alexey Tumanov

CoRR, 2023

2021

Indistinguishability Prevents Scheduler Side Channels in Real-Time Systems.

Chien-Ying Chen, Debopam Sanyal, Sibin Mohan

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models.

Debopam Sanyal, Nigel Bosch, Luc Paquette

Proceedings of the 13th International Conference on Educational Data Mining, 2020