Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks

10 February 2023

Papers citing "Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks"

5 / 5 papers shown

Title
Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials Gennaro Nolano Moritz Blum Basil Ell Philipp Cimiano 27 1 0 29 Feb 2024
Privacy in Large Language Models: Attacks, Defenses and Future Directions Haoran Li Yulin Chen Jinglong Luo Yan Kang Xiaojin Zhang Qi Hu Chunkit Chan Yangqiu Song PILM 40 41 0 16 Oct 2023
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 98 227 0 15 Apr 2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey Tom Roth Yansong Gao A. Abuadbba Surya Nepal Wei Liu AAML 23 12 0 01 Mar 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 73 473 0 02 Feb 2021