{"total":16,"rows":[{"id":"2405.07940","title":"RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors","created":"2024-05-13","cited_by_count":163,"area":null},{"id":"2311.11861","title":"Generating Valid and Natural Adversarial Examples with Large Language Models","created":"2023-11-20","cited_by_count":12,"area":null},{"id":"2406.00775","title":"Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data","created":"2024-06-02","cited_by_count":11,"area":null},{"id":"2503.00258","title":"Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text","created":"2025-03-01","cited_by_count":6,"area":null},{"id":"2402.11892","title":"Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing","created":"2024-02-19","cited_by_count":5,"area":null},{"id":"2405.04346","title":"Revisiting Character-level Adversarial Attacks for Language Models","created":"2024-05-07","cited_by_count":4,"area":null},{"id":"2503.03417","title":"When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2502.16523","title":"Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension","created":"2025-02-23","cited_by_count":2,"area":null},{"id":"2506.03355","title":"Robustness in Both Domains: CLIP Needs a Robust Text Encoder","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2311.04503","title":"Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data","created":"2023-11-08","cited_by_count":1,"area":null},{"id":"2402.10527","title":"Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks","created":"2024-02-16","cited_by_count":1,"area":null},{"id":"2404.06838","title":"Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?","created":"2024-04-10","cited_by_count":1,"area":null},{"id":"2404.08538","title":"VertAttack: Taking advantage of Text Classifiers' horizontal vision","created":"2024-04-12","cited_by_count":1,"area":null},{"id":"2412.08098","title":"What You See Is Not Always What You Get: Evaluating GPT's Comprehension of Source Code","created":"2024-12-11","cited_by_count":1,"area":null},{"id":"2606.09700","title":"What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2606.31074","title":"Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks","created":"2026-06-30","cited_by_count":0,"area":null}],"next_cursor":null}