ML Anthology

Vullikanti, Anil

32 publications

ICML 2025 Benign Samples Matter! Fine-Tuning on Outlier Benign Samples Severely Breaks Safety Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
NeurIPS 2025 Controlling the Spread of Epidemics on Networks with Differential Privacy Dung Nguyen, Aravind Srinivasan, Renata Valieva, Anil Vullikanti, Jiayi Wu
AISTATS 2024 Computing Epidemic Metrics with Edge Differential Privacy George Z. Li, Dung Nguyen, Anil Vullikanti
AAAI 2024 Learning the Topology and Behavior of Discrete Dynamical Systems Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
AAAI 2023 Detecting Sources of Healthcare Associated Infections Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju
IJCAI 2023 Differentially Private Partial Set Cover with Applications to Facility Location George Z. Li, Dung Nguyen, Anil Vullikanti
IJCAI 2023 Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
NeurIPS 2023 Faster Approximate Subgraph Counts with Privacy Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti
AAAI 2023 Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
JMLR 2023 PAC-Learning for Strategic Classification Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
AAAI 2023 Reconstructing an Epidemic Outbreak Using Steiner Connectivity Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti
IJCAI 2023 Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
AISTATS 2022 Controlling Epidemic Spread Using Probabilistic Diffusion Models on Networks Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
AISTATS 2022 Fair Disaster Containment via Graph-Cut Problems Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
IJCAI 2022 A Reliability-Aware Distributed Framework to Schedule Residential Charging of Electric Vehicles Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit
ICML 2022 Differentially Private Community Detection for Stochastic Block Models Mohamed S Mohamed, Dung Nguyen, Anil Vullikanti, Ravi Tandon
ICML 2022 Efficiently Learning the Topology and Behavior of a Networked Dynamical System via Active Queries Daniel J Rosenkrantz, Abhijin Adiga, Madhav Marathe, Zirou Qiu, S S Ravi, Richard Stearns, Anil Vullikanti
AAAI 2022 Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
AAAI 2022 Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti
IJCAI 2022 Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti
ICML 2021 Differentially Private Densest Subgraph Detection Dung Nguyen, Anil Vullikanti
ICML 2021 PAC-Learning for Strategic Classification Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
AAAI 2021 Persistence of Anti-Vaccine Sentiment in Social Networks Through Strategic Interactions A. S. M. Ahsan-Ul-Haque, Mugdha Thakur, Matthew Bielskas, Achla Marathe, Anil Vullikanti
AAAI 2020 Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
AAAI 2020 Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren
ICML 2019 PAC Learnability of Node Functions in Networked Dynamical Systems Abhijin Adiga, Chris J Kuhlman, Madhav Marathe, S Ravi, Anil Vullikanti
AAAI 2018 Graph Scan Statistics with Uncertainty Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng
AAAI 2018 Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications Jose Cadena, Anil Vullikanti
AAAI 2016 Hospital Stockpiling Problems with Inventory Sharing Eric Lofgren, Anil Vullikanti
AAAI 2016 Temporal Vaccination Games Under Resource Constraints Abhijin Adiga, Anil Vullikanti
UAI 2014 Bayesian Inference in Treewidth-Bounded Graphical Models Without Indegree Constraints Daniel J. Rosenkrantz, Madhav V. Marathe, Ravi Sundaram, Anil Vullikanti
JAIR 2014 Sensitivity of Diffusion Dynamics to Network Uncertainty Abhijin Adiga, Chris J. Kuhlman, Henning S. Mortveit, Anil Vullikanti