{"total":19,"rows":[{"id":"2310.19156","title":"Poisoning Retrieval Corpora by Injecting Adversarial Passages","created":"2023-10-29","cited_by_count":159,"area":null},{"id":"2308.09861","title":"Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method","created":"2023-08-19","cited_by_count":29,"area":null},{"id":"2301.10416","title":"AI vs. Human -- Differentiation Analysis of Scientific Content Generation","created":"2023-01-24","cited_by_count":21,"area":null},{"id":"2305.01860","title":"Towards Imperceptible Document Manipulations against Neural Ranking Models","created":"2023-05-03","cited_by_count":18,"area":null},{"id":"2407.06992","title":"Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective","created":"2024-07-09","cited_by_count":15,"area":null},{"id":"2404.01574","title":"Multi-granular Adversarial Attacks against Black-box Neural Ranking Models","created":"2024-04-02","cited_by_count":14,"area":null},{"id":"2504.17884","title":"Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval","created":"2025-04-24","cited_by_count":11,"area":null},{"id":"2301.10576","title":"A Study on FGSM Adversarial Training for Neural Retrieval","created":"2023-01-25","cited_by_count":10,"area":null},{"id":"2310.01423","title":"An Empirical Study of AI Generated Text Detection Tools","created":"2023-09-27","cited_by_count":9,"area":null},{"id":"2304.11300","title":"MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion","created":"2023-04-22","cited_by_count":7,"area":null},{"id":"2312.10329","title":"Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off","created":"2023-12-16","cited_by_count":7,"area":null},{"id":"2501.04802","title":"Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval","created":"2025-01-08","cited_by_count":7,"area":null},{"id":"2403.11833","title":"SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator","created":"2024-03-18","cited_by_count":4,"area":null},{"id":"2508.15283","title":"Adversarial Attacks against Neural Ranking Models via In-Context Learning","created":"2025-08-21","cited_by_count":4,"area":null},{"id":"2307.16816","title":"Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection","created":"2023-07-31","cited_by_count":3,"area":null},{"id":"2404.12014","title":"Enhance Robustness of Language Models Against Variation Attack through Graph Integration","created":"2024-04-18","cited_by_count":2,"area":null},{"id":"2509.18575","title":"The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking","created":"2025-09-23","cited_by_count":2,"area":null},{"id":"2604.16576","title":"On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2605.01591","title":"Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models","created":"2026-05-02","cited_by_count":0,"area":null}],"next_cursor":null}