Srivastava, Megha

Do Users Write More Insecure Code with AI Assistants?

Perry, N., Srivastava, M., Kumar, D., & Boneh, D. (2023) · Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 259

Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning

Srivastava, M., Heidari, H., & Krause, A. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 179

Evaluating Human-Language Model Interaction

Lee, M., Srivastava, M., Hardy, A., Thickstun, J., Durmus, E., Paranjape, A., Gerard-Ursin, I., Li, X. L., Ladhak, F., Rong, F., et al. (2022) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 61

Training large language models on narrow tasks can lead to broad misalignment

Betley, J., Warncke, N., Sztyber-Betley, A., Tan, D., Bao, X., Soto, M., Srivastava, M., Labenz, N., & Evans, O. (2026) · Nature

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 31