Arunesh Sinha

发表

Understanding and Protecting Privacy: Formal Semantics and Principled Audit Mechanisms

Dilsun Kirli Kaynar, Nicolas Christin, Limin Jia, 2011, ICISS.

Bounding Regret in Simulated Games

Arunesh Sinha, Steven Jecmen, E. Brinkman, 2018 .

Stackelberg Security Games ( SSG ) Basics and Application Overview

Milind Tambe, Arunesh Sinha, Bo An, 2018 .

Human Adversaries in Opportunistic Crime Security Games: Evaluating Competing Bounded Rationality Models

Nicole D. Sintov, Milind Tambe, M. Short, 2015 .

Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections

Milind Tambe, Biplav Srivastava, Christopher Kiekintveld, 2016, PAAMS.

Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach

Tien Mai, Arunesh Sinha, 2022, 2204.11451.

Towards a science of security games

Milind Tambe, T. Nguyen, A. Jiang, 2016 .

Auditing Rational Adversaries to Provably Manage Risks

Jeremiah Blocki, Nicolas Christin, Anupam Datta, 2012 .

Regret Minimizing Audits: A Learning-Theoretic Basis for Privacy Protection

Nicolas Christin, Anupam Datta, Jeremiah Blocki, 2011, 2011 IEEE 24th Computer Security Foundations Symposium.

From Physical Security to Cyber Security ?

Milind Tambe, Albert Xin Jiang, Arunesh Sinha, 2015 .

TRACE : Algorithmic ACTS for Preventing the Spread of Recurrent Infectious Diseases on Networks

Milind Tambe, B. Dilkina, Arunesh Sinha, 2018 .

Programs as Actual Causes: A Building Block for Accountability pdf

Anupam Datta, Deepak Garg, Divya Sharma, 2015, ArXiv.

Decision Theory for Network Security: Active Sensing for Detection and Prevention of Data Exfiltration

Milind Tambe, Pratyusa K. Manadhata, Sara Mc Carthy, 2021 .

Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence

Julian Togelius, Jichen Zhu, Scott Sanner, 2018, AI Mag..

Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees

Tien Mai, Arunesh Sinha, Avinandan Bose, 2022, NeurIPS.

Reports of the 2016 AAAI Workshop Program

Bruno Bouchard, Parisa Kordjamshidi, Toby Walsh, 2016, AI Mag..

Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline

Fei Fang, A. Perrault, Arunesh Sinha, 2019, AI Mag..

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Adaptive regret minimization in bounded-memory games Adaptive regret minimization in bounded-memory games

Jeremiah Blocki, Nicolas Christin, Anupam Datta, 2020 .

Auditing Rational Adversaries to Provably Manage Risks (CMU-CyLab-12-011)

Nicolas Christin, Anupam Datta, Jeremiah Blocki, 2012 .

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Towards a science of security games Towards a science of security games

Milind Tambe, T. Nguyen, A. Jiang, 2020 .

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets

Xinwen Hou, Arunesh Sinha, David Lo, 2022, ArXiv.

Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models

Tien Mai, Arunesh Sinha, 2022, AAAI.

Sequential Manipulative Attacks in Security Games

Arunesh Sinha, T. Nguyen, 2021 .

An Exploration of Poisoning Attacks on Data-Based Decision Making

Wong Wai Tuck, Arunesh Sinha, T. Nguyen, 2022, GameSec.

Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty pdf

Milind Tambe, Arunesh Sinha, Han-Ching Ou, 2019, ArXiv.

From physical security to cybersecurity

Milind Tambe, Albert Xin Jiang, Matthew Brown, 2015, J. Cybersecur..

The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games

Arunesh Sinha, T. Nguyen, 2022, ArXiv.

Partial Adversarial Behavior Deception in Security Games

Thanh H. Nguyen, Arunesh Sinha, He He, 2020, IJCAI.

Trends and Applications in Stackelberg Security Games

Milind Tambe, Fei Fang, T. Nguyen, 2018 .

Predicting poaching for wildlife Protection

Milind Tambe, Shahrzad Gholami, Andrew J. Plumptre, 2017, IBM J. Res. Dev..

Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols

Milind Tambe, Arunesh Sinha, Thanh Hong Nguyen, 2016, 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection

Milind Tambe, Shahrzad Gholami, Andrew J. Plumptre, 2016, AAMAS.

Protecting Wildlife under Imperfect Observation

Milind Tambe, Shahrzad Gholami, Andrew J. Plumptre, 2016, AAAI Workshop: Computer Poker and Imperfect Information Games.

Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm

Milind Tambe, Arunesh Sinha, Thanh Hong Nguyen, 2016, AAAI.

Learning Adversary Behavior in Security Games: A PAC Model Perspective

Milind Tambe, Arunesh Sinha, Debarun Kar, 2015, AAMAS.

Adaptive Regret Minimization in Bounded-Memory Games pdf

Nicolas Christin, Anupam Datta, Jeremiah Blocki, 2011, GameSec.

Three Strategies to Success: Learning Adversary Models in Security Games

Milind Tambe, Ariel D. Procaccia, Fei Fang, 2016, IJCAI.

Towards the Science of Security and Privacy in Machine Learning pdf

Michael P. Wellman, Patrick D. McDaniel, Nicolas Papernot, 2016, ArXiv.

SoK: Security and Privacy in Machine Learning

Michael P. Wellman, Patrick D. McDaniel, Nicolas Papernot, 2018, 2018 IEEE European Symposium on Security and Privacy (EuroS&P).

Curiosity-Driven and Victim-Aware Adversarial Policies

Xinwen Hou, D. Lo, Arunesh Sinha, 2022, ACSAC.

Stackelberg Security Games: Looking Beyond a Decade of Success

Bo An, Milind Tambe, Christopher Kiekintveld, 2018, IJCAI.

Adversarial Contract Design for Private Data Commercialization

Parinaz Naghizadeh Ardabili, Arunesh Sinha, Arunesh Sinha, 2018, EC.

Scaling-Up Stackelberg Security Games Applications Using Approximations

Milind Tambe, Arunesh Sinha, Aaron Schlenker, 2018, GameSec.

Audit Games

Nicolas Christin, Ariel D. Procaccia, Anupam Datta, 2013, IJCAI.

Audit Games (CMU-CyLab-13-004)

Nicolas Christin, Ariel D. Procaccia, Anupam Datta, 2013 .

Human Adversaries in Opportunistic Crime Security Games : How Past success ( or failure ) affects future behavior

Milind Tambe, Arunesh Sinha, Chao Zhang, 2022 .

Program Actions as Actual Causes: A Building Block for Accountability

Dilsun Kirli Kaynar, Deepak Garg, Anupam Datta, 2015, 2015 IEEE 28th Computer Security Foundations Symposium.

One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats

Milind Tambe, Matthew Brown, Arunesh Sinha, 2016, AAAI.

Audit Games with Multiple Defender Resources

Nicolas Christin, Ariel D. Procaccia, Anupam Datta, 2014, AAAI.

Migrating a Web-based application to a service-based system - an experience report

Scott R. Tilley, Arunesh Sinha, Pushparani Bhallamudi, 2009, 2009 11th IEEE International Symposium on Web Systems Evolution.

A Learning and Masking Approach to Secure Learning

Arunesh Sinha, Linh Nguyen, Sky Wang, 2017, GameSec.

AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline pdf

Milind Tambe, Arunesh Sinha, Fei Fang, 2020, ArXiv.

Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models

Shih-Fen Cheng, Arunesh Sinha, Avinandan Bose, 2022, AAAI.

Using Abstractions to Solve Opportunistic Crime Security Games at Scale

Milind Tambe, Chao Zhang, Yevgeniy Vorobeychik, 2016, AAMAS.

Generating Realistic Stock Market Order Streams

Michael P. Wellman, Arunesh Sinha, Junyi Li, 2020, AAAI.

Bounding Regret in Empirical Games

Long Tran-Thanh, Arunesh Sinha, Steven Jecmen, 2020, AAAI.

Conditioning Hierarchical Reinforcement Learning on Flexible Constraints

Pradeep Varakantham, Arunesh Sinha, Yu Lu, 2023, ArXiv.

Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility

Arunesh Sinha, T. Nguyen, Wai Tuck Wong, 2022, AAAI.

Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning

Arunesh Sinha, Nalini Saligram, Sandhya Ramalingam, 2023, IJCAI.

Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty

Milind Tambe, Arunesh Sinha, Han-Ching Ou, 2020, AAMAS.

Towards a Game-theoretic Framework for Intelligent Cybersecurity Alert Allocation ?

Milind Tambe, Haifeng Xu, Arunesh Sinha, 2017 .

Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data

Arambam James Singh, T. K. S. Kumar, Akshat Kumar, 2022, CP.

Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks

Arunesh Sinha, T. Nguyen, 2023, AAAI.

Measuring Data Collection Diligence for Community Healthcare

Arunesh Sinha, Milind Tambe, Mohammad Sarparajul Ambiya, 2021, EAAMO.

Measuring Data Collection Quality for Community Healthcare pdf

Arunesh Sinha, Milind Tambe, Ramesha Karunasena, 2020, ArXiv.

BAFFLE: Backdoor Attack in Offline Reinforcement Learning

Xinwen Hou, Arunesh Sinha, David Lo, 2022, 2210.04688.

CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection

Milind Tambe, T. Nguyen, L. Joppa, 2016, AAMAS.

Curiosity-Driven and Victim-Aware Adversarial Policies

Xinwen Hou, D. Lo, Arunesh Sinha, 2022, ACSAC.

BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets

Xinwen Hou, Arunesh Sinha, David Lo, 2022, 2210.04688.

Continuous Tamper-proof Logging using TPM2.0 (CMU-CyLab-13-008)

Paul England, Limin Jia, Arunesh Sinha, 2013 .

Provable De-anonymization of Large Datasets with Sparse Dimensions

Anupam Datta, Divya Sharma, Arunesh Sinha, 2012, POST.

A Game Theoretic Approach on Addressing Cooperation among Human Adversaries

Nicole D. Sintov, Milind Tambe, Arunesh Sinha, 2016 .

A Game Theoretic Approach on Addressing Collusion among Human Adversaries

Nicole D. Sintov, Milind Tambe, Arunesh Sinha, 2016 .

Two Can Play That Game

Sushil Jajodia, Ankit Shah, Hasan Çam, 2018, ACM Trans. Intell. Syst. Technol..

Learning Bounded Rationality Models of the Adversary in Repeated Stackelberg Security Games

Milind Tambe, Bo An, Fei Fang, 2015 .

Deception in Finitely Repeated Security Games

Yongzhao Wang, Michael P. Wellman, Arunesh Sinha, 2019, AAAI.

Deceitful Attacks in Security Games

Michael P. Wellman, Arunesh Sinha, Thanh Hong Nguyen, 2018, AAAI Workshops.

Stackelberg Security Games (SSG) Basics and Application Overview

Milind Tambe, Arunesh Sinha, Bo An, 2015 .

What you want is not what you get: predicting sharing policies for text-based content on facebook

Yan Li, Lujo Bauer, Arunesh Sinha, 2013, AISec.