228 citations · 279 across the 18 of their papers we have counts for
18 papers
Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems
Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel +3
Chatbots, the common moniker for collaborative assistants, are Artificial Intelligence (AI) software that enables people to naturally interact with them to get tasks done. Although…
E-PDDL: A Standardized Way of Defining Epistemic Planning Problems
Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner +3
Epistemic Planning (EP) refers to an automated planning setting where the agent reasons in the space of knowledge states and tries to find a plan to reach a desirable state from th…
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo +5
While machine learning (ML) models are being increasingly trusted to make decisions in different and varying areas, the safety of systems using such models has become an increasing…
Tentacular Artificial Intelligence, and the Architecture Thereof, Introduced
Selmer Bringsjord, Naveen Sundar Govindarajulu, Atriya Sen +3
We briefly introduce herein a new form of distributed, multi-agent artificial intelligence, which we refer to as "tentacular." Tentacular AI is distinguished by six attributes, whi…
A Train Status Assistant for Indian Railways
Himadri Mishra, Ramashish Gaurav, Biplav Srivastava
Trains are part-and-parcel of every day lives in countries with large, diverse, multi-lingual population like India. Consequently, an assistant which can accurately predict and exp…
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach
Ravi Kiran Raman, Roman Vaculin, Michael Hind +6
Large-scale computational experiments, often running over weeks and over large datasets, are used extensively in fields such as epidemiology, meteorology, computational biology, an…