193 citations · 244 across the 22 of their papers we have counts for
7 papers · 1 filter
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
Chen Gong, Zhou Yang, Yunpeng Bai +8
Reinforcement learning (RL) makes an agent learn from trial-and-error experiences gathered during the interaction with the environment. Recently, offline RL has become a popular RL…
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees
Avinandan Bose, Arunesh Sinha, Tien Mai
Distributionally robust optimization (DRO) has shown lot of promise in providing robustness in learning as well as sample based optimization problems. We endeavor to provide DRO so…
Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach
Tien Mai, Arunesh Sinha
Vaccine delivery in under-resourced locations with security risks is not just challenging but also life threatening. The current COVID pandemic and the need to vaccinate have added…
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022
James Holt, Edward Raff, Ahmad Ridley +7
The workshop will focus on the application of AI to problems in cyber security. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilitie…
The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games
Thanh H. Nguyen, Arunesh Sinha
This paper studies the problem of multi-step manipulative attacks in Stackelberg security games, in which a clever attacker attempts to orchestrate its attacks over multiple time s…
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models
Changyu Chen, Avinandan Bose, Shih-Fen Cheng +1
Realistic fine-grained multi-agent simulation of real-world complex systems is crucial for many downstream tasks such as reinforcement learning. Recent work has used generative mod…