Mazal Bethany

According to our database, Mazal Bethany authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Agentic Adversarial Rewriting Exposes Architectural Vulnerabilities in Black-Box NLP Pipelines.

Mazal Bethany, Kim-Kwang Raymond Choo, Nishant Vishwamitra, Peyman Najafirad

CoRR, April, 2026

2025

CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation.

Mazal Bethany, Nishant Vishwamitra, Cho-Yu Jason Chiang, Peyman Najafirad

CoRR, May, 2025

Lateral Phishing With Large Language Models: A Large Organization Comparative Study.

Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad

IEEE Access, 2025

Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction.

Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang, Anthony Rios, Peyman Najafirad

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent.

Fatemeh Haji, Mazal Bethany, Maryam Tabar, Jason Cho-Yu Chiang, Anthony Rios, Peyman Najafirad

CoRR, 2024

Jailbreaking Large Language Models with Symbolic Mathematics.

Emet Bethany, Mazal Bethany, Juan Arturo Nolazco Flores, Sumit Kumar Jha, Peyman Najafirad

CoRR, 2024

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs.

Mazal Bethany, Emet Bethany, Brandon Wherry, Jason Cho-Yu Chiang, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad

CoRR, 2024

Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis.

Nafis Tanveer Islam, Mazal Bethany, Dylan Manuel, Murtuza Jadliwala, Peyman Najafirad

CoRR, 2024

Large Language Model Lateral Spear Phishing: A Comparative Study in Large-Scale Organizational Settings.

Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad

CoRR, 2024

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text.

Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Peyman Najafirad

CoRR, 2024

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text.

Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad

Proceedings of the 33rd USENIX Security Symposium, 2024

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually.

Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Can Hierarchical Transformers Learn Facial Geometry?

Paul Young, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, Peyman Najafirad

Sensors, January, 2023

Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability.

Mazal Bethany, Andrew Seong, Samuel Henrique Silva, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad

Proceedings of the 32nd USENIX Security Symposium, 2023