Srivastava, Biplav

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Chen, B., Carvalho, W., Baracaldo, N., Ludwig, H., Edwards, B., Lee, T., Molloy, I., & Srivastava, B. (2018) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 485

Understanding the Capabilities of Large Language Models for Automated Planning

Pallagani, V., Muppasani, B., Murugesan, K., Rossi, F., Srivastava, B., Horesh, L., Fabiano, F., & Loreggia, A. (2023) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 50

LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making

Lakkaraju, K., Jones, S. E., Vuruma, S. K. R., Pallagani, V., Muppasani, B. C., & Srivastava, B. (2023) · 4th ACM International Conference on AI in Finance

AI in Service InteractionsEthics and Social Impacts of AI

Cited by 42

Personalized chatbot trustworthiness ratings

Srivastava, B., Rossi, F., Usmani, S., & Bernagozzi, M. (2020) · IEEE Transactions on Technology and Society

Ethics and Social Impacts of AISpeech and dialogue systems

Cited by 40

A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement

Sarkar, S., Gaur, M., Chen, L. K., Garg, M., & Srivastava, B. (2023) · Frontiers in Artificial Intelligence

Explainable Artificial Intelligence (XAI)Digital Mental Health Interventions

Cited by 38

Rating AI systems for bias to promote trustable applications

Srivastava, B., & Rossi, F. (2019) · IBM Journal of Research and Development

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 22