Datta, Anupam

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems

Datta, A., Sen, S., & Zick, Y. (2016) · 2016 IEEE Symposium on Security and Privacy (SP)

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 728

Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination

Datta, A., Tschantz, M. C., & Datta, A. (2015) · Proceedings on Privacy Enhancing Technologies

Privacy, Security, and Data ProtectionEthics and Social Impacts of AI

Cited by 676

A modular correctness proof of IEEE 802.11i and TLS

He, C., Sundararajan, M., Datta, A., Derek, A., & Mitchell, J. C. (2005) · Proceedings of the 12th ACM conference on Computer and communications security

Advanced Authentication Protocols SecuritySecurity and Verification in Computing

Cited by 121

Identifying and Mitigating the Security Risks of Generative AI

Barrett, C., Boyd, B., Bursztein, E., Carlini, N., Chen, B., Choi, J., Chowdhury, A. R., Christodorescu, M., Datta, A., Feizi, S., et al. (2023) · Foundations and Trends® in Privacy and Security

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 57

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration

Deng, M., Ramachandran, A., Xu, C., Hu, L., Yao, Z., Datta, A., & Zhang, H. (2025) · arXiv

Natural Language Processing TechniquesAdvanced Database Systems and Queries

Cited by 11