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Mazal Bethany

  1. Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text
    2024/01/17 by Mazal Bethany, Brandon Wherry, Bethany, Mazal +7 · 3 citations
    Computer Science · #Hate Speech and Cyberbullying Detection #Topic Modeling #Text Readability and Simplification
  2. Jailbreaking Large Language Models with Symbolic Mathematics
    2024/09/17 by Emet Bethany, Bethany, Emet, Mazal Bethany +7 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Computation and Language (cs.CL) #Computational Physics and Python Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  3. Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent
    2024/09/17 by Fatemeh Haji, Mazal Bethany, Haji, Fatemeh +9 · 3 citations
    Business, Management and Accounting · Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #Modeling, Simulation, and Optimization #Semantic Web and Ontologies
  4. Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually
    2024/01/19 by Mazal Bethany, Bethany, Mazal, Brandon Wherry +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  5. CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation
    2025/05/03 by Mazal Bethany, Bethany, Mazal, Nishant Vishwamitra +5 · 2 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Network Security and Intrusion Detection