Debeshee Das

According to our database, Debeshee Das authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Blind Baselines Beat Membership Inference Attacks for Foundation Models.

Debeshee Das, Jie Zhang, Florian Trantèr

Proceedings of the 2025 IEEE Security and Privacy, 2025

Position: Membership Inference Attacks Cannot Prove That a Model was Trained on Your Data.

Jie Zhang, Debeshee Das, Gautam Kamath, Florian Tramèr

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs.

Alex Mathai, Kranthi Sedamaki, Debeshee Das, Noble Saji Mathews, Srikanth Tamilselvam, Sridhar Chimalakonda, Atul Kumar

CoRR, 2024

Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data.

Jie Zhang, Debeshee Das, Gautam Kamath, Florian Tramèr

CoRR, 2024

Blind Baselines Beat Membership Inference Attacks for Foundation Models.

Debeshee Das, Jie Zhang, Florian Tramèr

CoRR, 2024

2023

COMEX: A Tool for Generating Customized Source Code Representations.

Debeshee Das, Noble Saji Mathews, Alex Mathai, Srikanth Tamilselvam, Kranthi Sedamaki, Sridhar Chimalakonda, Atul Kumar

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

The Landscape of Source Code Representation Learning in AI-Driven Software Engineering Tasks.

Sridhar Chimalakonda, Debeshee Das, Alex Mathai, Srikanth Tamilselvam, Atul Kumar

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022

Exploring Security Vulnerabilities in Competitive Programming: An Empirical Study.

Debeshee Das, Noble Saji Mathews, Sridhar Chimalakonda

Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022