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Conference and Workshop Papers
- 2024
[c6]Gilad Gressel
, Rahul Pankajakshan, Yisroel Mirsky:
Discussion Paper: Exploiting LLMs for Scam Automation: A Looming Threat. WDC@AsiaCCS 2024- 2022
- [c5]Poornima Santhosh, Gilad Gressel, Michael C. Darling:
Using Uncertainty as a Defense Against Adversarial Attacks for Tabular Datasets. AI 2022: 719-732 - 2020
- [c4]Aiswarya Mohan K. P, Saranya Chandran, Gilad Gressel, Arjun T. U, Vipin Pavithran:
Using Dtrace for Machine Learning Solutions in Malware Detection. ICCCNT 2020: 1-7 - 2017
- [c3]Raghudeep Kannavara, Gilad Gressel, Damilare Fagbemi, Richard Chow:
A Machine Learning Approach to SDL. SecDev 2017: 10-15 - 2015
- [c2]Michael C. Darling, Greg Heileman, Gilad Gressel, Aravind Ashok, Prabaharan Poornachandran:
A lexical approach for classifying malicious URLs. HPCS 2015: 195-202 - 2014
- [c1]Surendran K, Gilad Gressel, Thara S, P. Hrudya, Aravind Ashok, Prabaharan Poornachandran:
Ensemble Learning Approach for Author Profiling. CLEF (Working Notes) 2014: 1148-1156
Informal and Other Publications
- 2024
- [i3]Rahul Pankajakshan, Sumitra Biswal, Yuvaraj Govindarajulu, Gilad Gressel:
Mapping LLM Security Landscapes: A Comprehensive Stakeholder Risk Assessment Proposal. CoRR abs/2403.13309 (2024) - 2023
- [i2]Abhijit Ramesh, Anantha Nandanan, Nikhil Boggavarapu, Priya Nair, Gilad Gressel:
Automatic Endoscopic Ultrasound Station Recognition with Limited Data. CoRR abs/2309.11820 (2023) - 2021
- [i1]Gilad Gressel, Niranjan Hegde, Archana Sreekumar, Michael C. Darling:
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack. CoRR abs/2106.14815 (2021)
Coauthor Index
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