Multi-granular Adversarial Attacks Against Black-box Neural Ranking Models - Lecture 1

Offered By: Association for Computing Machinery (ACM) via YouTube

Course Description

Overview

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Explore a 12-minute conference talk from SIGIR 2024 that delves into multi-granular adversarial attacks against black-box neural ranking models in the field of Neural Information Retrieval. Learn about the research conducted by Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, and Xueqi Cheng as they present their findings on this cutting-edge topic. Gain insights into the vulnerabilities of neural ranking models and the potential implications for information retrieval systems.

Syllabus

SIGIR 2024 T2.3 [fp] Multi-granular Adversarial Attacks against Black-box Neural Ranking Models

Taught by

Association for Computing Machinery (ACM)

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