A Study on FGSM Adversarial Training for Neural Retrieval

25 January 2023

Papers citing "A Study on FGSM Adversarial Training for Neural Retrieval"

7 / 7 papers shown

Title
Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective Mariya Hendriksen Shuo Zhang R. Reinanda Mohamed Yahya Edgar Meij Maarten de Rijke 22 0 0 21 Jul 2024
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective Yu-An Liu Ruqing Zhang Jiafeng Guo Maarten de Rijke Yixing Fan Xueqi Cheng 18 0 0 09 Jul 2024
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection Xuanang Chen Ben He Le Sun Yingfei Sun AAML 17 5 0 31 Jul 2023
Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models Jiawei Liu Yangyang Kang Di Tang Kaisong Song Changlong Sun XiaoFeng Wang Wei Lu Xiaozhong Liu AAML 43 39 0 14 Sep 2022
Anticorrelated Noise Injection for Improved Generalization Antonio Orvieto Hans Kersting F. Proske Francis R. Bach Aurélien Lucchi 50 44 0 06 Feb 2022
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval Thibault Formal Carlos Lassance Benjamin Piwowarski S. Clinchant 194 184 0 21 Sep 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 720 0 17 Apr 2021