← Authors

Arunesh Sinha

26 papers · 2013–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (9) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (40) 🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (111) πŸš€ Conference Pioneer πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (6)

Conferences

AAAI (11) IJCAI (10) ICLR (3) NIPS (2)

Top co-authors

Pradeep Varakantham (6) Milind Tambe (6) Thanh H. Nguyen (5) Tien Mai (5) Avinandan Bose (4) Thanh Nguyen (3) Changyu CHEN (3) Yuxiao Lu (2) Christopher Kiekintveld (2) Haifeng Xu (2)

Keywords

stackelberg game (4) security game (4) bounded rationality (3) stackelberg security game (3) resource allocation (2) security optimization (2) constrained optimization (2) constraint satisfaction (2) game theory (2) policy gradient (2) generative adversarial network (2) markov decision process (2) conditional generation (1) autonomous driving (1) policy optimization (1) sample complexity (1) non-convex optimization (1) motion planning (1) temporal difference learning (1) hierarchical reinforcement learning (1)

Papers

Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs ICLR 2025
Bootstrapping Language Models with DPO Implicit Rewards ICLR 2025
On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning ICLR 2025
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary IJCAI 2024
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024
Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning IJCAI 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NIPS 2023
Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks AAAI 2023
A Fair Incentive Scheme for Community Health Workers AAAI 2023
Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility AAAI 2023
Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach AAAI 2023
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models AAAI 2022
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NIPS 2022
Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models AAAI 2022
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning AAAI 2020
Generating Realistic Stock Market Order Streams AAAI 2020
Partial Adversarial Behavior Deception in Security Games IJCAI 2020
Bounding Regret in Empirical Games AAAI 2020
Deception in Finitely Repeated Security Games AAAI 2019
The Price of Usability: Designing Operationalizable Strategies for Security Games IJCAI 2018
Stackelberg Security Games: Looking Beyond a Decade of Success IJCAI 2018
Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts IJCAI 2017
Three Strategies to Success: Learning Adversary Models in Security Games IJCAI 2016
Incentivizing Peer Grading in MOOCS: An Audit Game Approach IJCAI 2015
Security Games with Information Leakage: Modeling and Computation IJCAI 2015
Audit Games IJCAI 2013