Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning. - Hyrum S. Anderson; Anant Kharkar; Bobby Filar; David Evans 001; Phil Roth 002 (CoRR, 2018)

Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. - Iddo Drori; Anant Kharkar; William R. Sickinger; Brandon Kates; Qiang Ma 004; Suwen Ge; Eden Dolev; Brenda Dietrich; David P. Williamson; Madeleine Udell (ICMLA, 2020)

Privileged Zero-Shot AutoML. - Nikhil Singh 003; Brandon Kates; Jeff Mentch; Anant Kharkar; Madeleine Udell; Iddo Drori (CoRR, 2021)

Learning to Reduce False Positives in Analytic Bug Detectors. - Anant Kharkar; Roshanak Zilouchian Moghaddam; Matthew Jin; Xiaoyu Liu; Xin Shi; Colin B. Clement; Neel Sundaresan (ICSE, 2022)

Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning? - Aaron Chan; Anant Kharkar; Roshanak Zilouchian Moghaddam; Yevhen Mohylevskyy; Alec Helyar; Eslam Kamal; Mohamed Elkamhawy; Neel Sundaresan (CoRR, 2023)

TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. - Hojjat Aghakhani; Wei Dai 007; Andre Manoel; Xavier Fernandes; Anant Kharkar; Christopher Kruegel; Giovanni Vigna; David Evans 001; Ben Zorn 001; Robert Sim (SP, 2024)