228 citations · 279 across the 18 of their papers we have counts for
8 papers · 1 filter
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…
Decision-support for the Masses by Enabling Conversations with Open Data
Biplav Srivastava
Open data refers to data that is freely available for reuse. Although there has been rapid increase in availability of open data to public in the last decade, this has not translat…
Towards Composable Bias Rating of AI Services
Biplav Srivastava, Francesca Rossi
A new wave of decision-support systems are being built today using AI services that draw insights from data (like text and video) and incorporate them in human-in-the-loop assistan…