Our paper “Secure Control of Connected and Automated Vehicles Using Trust-Aware Robust Event-Triggered Control Barrier Functions” has been accepted at VehicleSec 2024. Congratulations to Sabbir who led this work!
Congratulations to Feisi, Weichao, Jiameng and our collaborators for having the paper “REGLO: Provable Neural Network Repair for Global Robustness Properties” accepted at AAAI 2024! REGLO is the first technique that enables effective repair of neural networks for global robustness properties.
Our paper “POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems” has been accepted for publication at IEEE TCAD. Congratulations to Weichao, Jiameng and our collaborators at Northwestern University, University of New Mexico, and University of Liverpool. Link to Tool: https://github.com/ChaoHuang2018/POLAR_Tool
Our team (with SRI International and Stony Brook) has been selected for Phase 2 of the TrojAI program. We will develop new technologies to defend AI systems from Trojan attacks.
New project sponsored by Intuit on developing a unified attribution analysis framework for interpretable deep learning.
Please consider sending your strong papers to this track: https://www.dac.com/Conference/2023-Call-for-Contributions