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Ahmet Emre Ergün

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Open access 2026

Response-Only Adversarial Detection of LLM Outputs: A Comparative Study of Lexical, Contrastive, and Contextual Representations

This study investigates response-only adversarial classification of LLM outputs through a comparative evaluation of lexical, contrastive, and contextual representations and provides a realistic benchmark for response-only adversarial detection and clarify the limits of contrastive representations when prompt information is absent.

A. Nasution, Ahmet Emre Ergün, Aytu˘g Onan et al. · 0 citations
Review Open access 2026

Survey on Adversarial Prompt Generation and Robustness Analysis in Large Language Models

This survey provides a comprehensive analysis of adversarial prompting strategies, ranging from input manipulation techniques to semantic and structural distortions, and explores defense strategies across preprocessing, model-level, postprocessing, and hybrid strategies, highlighting recent advances and their limitations.

A. Nasution, Ahmet Emre Ergün, Aytu˘g Onan et al. · 0 citations