Anil Vullikanti

27 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) 🏃 Academic Marathon (6) 🗺️ Taxonomy Completionist (10) 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧬 Topic Evolution 🏆 Keyword Champion (4) 🔬 Deep Specialist (11) 🗃️ Keyword Collector (133) 💎 Century Club (25) 🔥 Unstoppable (7) ⚡ Prolific Year (8)

Conferences

AAAI (11) ICML (6) IJCAI (5) AISTATS (3) JMLR (1) NIPS (1)

Top co-authors

Madhav Marathe (8) Abhijin Adiga (6) Dung Nguyen (5) Zirou Qiu (4) S. S. Ravi (4) George Z. Li (3) Richard Stearns (3) Chen Chen (3) Leonidas Tsepenekas (3) Daniel J. Rosenkrantz (3)

Research topics

Differential Privacy (2) Privacy (1)

Keywords

approximation algorithm (8) differential privacy (5) combinatorial optimization (4) discrete dynamical system (4) pac learning (3) submodular optimization (2) strategic classification (2) adversarial learning (2) active query (2) sample complexity (2) graph algorithm (2) query complexity (2) facility location (2) networked dynamical system (2) network monitoring (1) distributed optimization (1) large-scale optimization (1) community detection (1) binary classification (1) expectation propagation (1)

Papers

Prediction of Hospital Associated Infections During Continuous Hospital Stays AAAI 2026

Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks AAAI 2026

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety ICML 2025

Learning the Topology and Behavior of Discrete Dynamical Systems AAAI 2024

Computing epidemic metrics with edge differential privacy AISTATS 2024

Faster approximate subgraph counts with privacy NIPS 2023

Detecting Sources of Healthcare Associated Infections AAAI 2023

Reconstructing an Epidemic Outbreak Using Steiner Connectivity AAAI 2023

Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence AAAI 2023

Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers IJCAI 2023

Differentially Private Partial Set Cover with Applications to Facility Location IJCAI 2023

Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays IJCAI 2023

PAC-learning for Strategic Classification JMLR 2023

Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics AAAI 2022

Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries ICML 2022

A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles IJCAI 2022

Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method IJCAI 2022

Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay AAAI 2022

Fair Disaster Containment via Graph-Cut Problems AISTATS 2022

Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022

Differentially Private Community Detection for Stochastic Block Models ICML 2022

Differentially Private Densest Subgraph Detection ICML 2021

PAC-Learning for Strategic Classification ICML 2021

Persistence of Anti-vaccine Sentiment in Social Networks Through Strategic Interactions AAAI 2021

Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems AAAI 2020

Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability AAAI 2020

PAC Learnability of Node Functions in Networked Dynamical Systems ICML 2019