New IARPA Project on Detecting Trojans in Neural Networks
We will be working with SRI International and Stony Brook University on Trojan Detection using Attribution, Counterfactuals, and Topological Analysis under the IARPA TrojAI Program.
We will be working with SRI International and Stony Brook University on Trojan Detection using Attribution, Counterfactuals, and Topological Analysis under the IARPA TrojAI Program.
Congratulations to Weichao and our collaborators! This paper introduces the concepts of policy repair and minimally deviating policy repair for learning-based controllers.
Our paper “Divide and Slide: Layer-Wise Refinement for Output Range Analysis of Deep Neural Networks” has been accepted to EMSOFT 2020. Congratulations to Jiameng and our collaborators at Northwestern and Dayton!
Our tool paper “ReachNN*: A Tool for Reachability Analysis of Neural-Network Controlled Systems” has been accepted to ATVA 2020. Congratulations to Jiameng and our collaborators at Northwestern and Dayton!
https://www.wired.com/story/tainted-data-teach-algorithms-wrong-lessons/
Paper on Application-Aware Scheduling of Networked Applications over the Low-Power Wireless Bus accepted at DATE’20. Congratulations Kacper!
Securing multi-agent systems through physical cognition and control synthesis: Project website: http://sites.bu.edu/securingmas/ NSF Award: https://nsf.gov/awardsearch/showAward?AWD_ID=1932162
This project will develop the foundations of a cross-layer paradigm for building adaptive, dependable and secure systems under weakly-hard real-time constraints.
https://www.dac.com/call-for-contributions