Ensemble Learning Approach for Author Profiling. - Surendran K; Gilad Gressel; Thara S; P. Hrudya; Aravind Ashok; Prabaharan Poornachandran (CLEF (Working Notes), 2014)

A lexical approach for classifying malicious URLs. - Michael C. Darling; Greg Heileman; Gilad Gressel; Aravind Ashok; Prabaharan Poornachandran (HPCS, 2015)

A Machine Learning Approach to SDL. - Raghudeep Kannavara; Gilad Gressel; Damilare Fagbemi; Richard Chow (SecDev, 2017)

Using Dtrace for Machine Learning Solutions in Malware Detection. - Aiswarya Mohan K. P; Saranya Chandran; Gilad Gressel; Arjun T. U; Vipin Pavithran (ICCCNT, 2020)

Feature Importance Guided Attack: A Model Agnostic Adversarial Attack. - Gilad Gressel; Niranjan Hegde; Archana Sreekumar; Michael C. Darling (CoRR, 2021)

Using Uncertainty as a Defense Against Adversarial Attacks for Tabular Datasets. - Poornima Santhosh; Gilad Gressel; Michael C. Darling (AI, 2022)

Automatic Endoscopic Ultrasound Station Recognition with Limited Data. - Abhijit Ramesh; Anantha Nandanan; Nikhil Boggavarapu; Priya Nair; Gilad Gressel (CoRR, 2023)

Discussion Paper: Exploiting LLMs for Scam Automation: A Looming Threat. - Gilad Gressel; Rahul Pankajakshan; Yisroel Mirsky (WDC@AsiaCCS, 2024)

Mapping LLM Security Landscapes: A Comprehensive Stakeholder Risk Assessment Proposal. - Rahul Pankajakshan; Sumitra Biswal; Yuvaraj Govindarajulu; Gilad Gressel (CoRR, 2024)

Are You Human? An Adversarial Benchmark to Expose LLMs. - Gilad Gressel; Rahul Pankajakshan; Yisroel Mirsky (CoRR, 2024)

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams. - Fred Matanel Grabovski; Gilad Gressel; Yisroel Mirsky (CoRR, 2025)