Arunesh Sinha

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

Achievements

+9 more ↓

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (12) 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (9)

🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏆 Keyword Champion (3) 🗃️ Keyword Collector (111) 🚀 Conference Pioneer 💎 Century Club (26) 🔥 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