دورية أكاديمية

PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models.

التفاصيل البيبلوغرافية
العنوان: PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models.
المؤلفون: CHEN WU, RUQING ZHANG, JIAFENG GUO, DE RIJKE, MAARTEN, YIXING FAN, XUEQI CHENG
المصدر: ACM Transactions on Information Systems; Oct2023, Vol. 41 Issue 4, p1-27, 27p
مستخلص: The article's focus lies in examining the vulnerability of neural ranking models (NRMs) to adversarial attacks, particularly emphasizing the Word Substitution Ranking Attack (WSRA) task, aiming to enhance a target document's ranking by subtly altering its text. It covers topics such as proposing a novel PRADA method for generating adversarial examples, conducting experiments on web search datasets, and highlighting the importance of identifying NRM vulnerabilities to enhance model robustness.
قاعدة البيانات: Complementary Index
الوصف
تدمد:10468188
DOI:10.1145/3576923