3 papers
cs.AI2026
TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure
Joshua Zuniga, Srinivasan Subramanian, Ramya Madhuri Narapureddy +1
Modern cyber-physical and AI-assisted systems couple human operators, AI decision modules, and automated controllers in a single control loop, so trustworthiness depends on the who…
cs.LG2026
Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning
Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul Islam
Robust aggregation methods are widely used in federated learning to mitigate the impact of adversarial client behavior. Distance-based aggregation rules, such as Krum and Multi-Kru…
cs.CV2026
Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks
Ryan Deem, Garrett Goodman, Waqas Majeed +2
Adversarial robustness in deep learning models for brain tumor classification remains an underexplored yet critical challenge, particularly for clinical deployment scenarios involv…