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cs.AI2024
Risk-Aware Alignment Must Incorporate Reward Uncertainty
Debangshu Banerjee, Aditya Gopalan, Kintan Saha
We consider the problem of policy optimization with noisy rewards, where the policy is constrained to be in the neighborhood of a reference policy.We study the risk of the policy o…
cs.LG2024
Relational DNN Verification With Cross Executional Bound Refinement
Debangshu Banerjee, Gagandeep Singh
We focus on verifying relational properties defined over deep neural networks (DNNs) such as robustness against universal adversarial perturbations (UAP), certified worst-case hamm…