TextBugger: Generating Adversarial Text Against Real-world Applications

13 December 2018

Papers citing "TextBugger: Generating Adversarial Text Against Real-world Applications"

50 / 382 papers shown

Title
Unpacking Robustness in Inflectional Languages: Adversarial Evaluation and Mechanistic Insights Paweł Walkowiak Marek Klonowski Marcin Oleksy Arkadiusz Janz AAML 39 0 0 08 May 2025
CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation Mazal Bethany Nishant Vishwamitra Cho-Yu Chiang Peyman Najafirad AAML 31 0 0 03 May 2025
aiXamine: Simplified LLM Safety and Security Fatih Deniz Dorde Popovic Yazan Boshmaf Euisuh Jeong M. Ahmad Sanjay Chawla Issa M. Khalil ELM 80 0 0 21 Apr 2025
Bypassing Prompt Injection and Jailbreak Detection in LLM Guardrails William Hackett Lewis Birch Stefan Trawicki N. Suri Peter Garraghan 37 2 0 15 Apr 2025
Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks Xiaomei Zhang Zhaoxi Zhang Yanjun Zhang Xufei Zheng L. Zhang Shengshan Hu Shirui Pan AAML 32 0 0 08 Apr 2025
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study Aryan Agrawal Lisa Alazraki Shahin Honarvar Marek Rei 57 0 0 03 Apr 2025
Pay More Attention to the Robustness of Prompt for Instruction Data Mining Qiang Wang Dawei Feng Xu Zhang Ao Shen Yang Xu Bo Ding H. Wang AAML 53 0 0 31 Mar 2025
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy Joonhyun Jeong Seyun Bae Yeonsung Jung Jaeryong Hwang Eunho Yang AAML 45 1 0 26 Mar 2025
FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models Dahyun Jung Seungyoon Lee Hyeonseok Moon Chanjun Park Heuiseok Lim AAML ALM ELM 58 0 0 25 Mar 2025
Investigating Neurons and Heads in Transformer-based LLMs for Typographical Errors Kohei Tsuji Tatsuya Hiraoka Yuchang Cheng Eiji Aramaki Tomoya Iwakura 79 0 0 27 Feb 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 148 0 0 21 Feb 2025
Confidence Elicitation: A New Attack Vector for Large Language Models Brian Formento Chuan-Sheng Foo See-Kiong Ng AAML 99 0 0 07 Feb 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks Yang Wang Chenghua Lin ELM 40 0 0 05 Jan 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets Vatsal Gupta Pranshu Pandya Tushar Kataria Vivek Gupta Dan Roth AAML 63 1 0 03 Jan 2025
Adversarial Robustness through Dynamic Ensemble Learning Hetvi Waghela Jaydip Sen Sneha Rakshit AAML 91 0 0 20 Dec 2024
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context Nilanjana Das Edward Raff Manas Gaur AAML 106 1 0 20 Dec 2024
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages Poulami Ghosh Raj Dabre Pushpak Bhattacharyya AAML 75 0 0 14 Dec 2024
BinarySelect to Improve Accessibility of Black-Box Attack Research Shatarupa Ghosh Jonathan Rusert AAML 79 0 0 13 Dec 2024
WaterPark: A Robustness Assessment of Language Model Watermarking Jiacheng Liang Zian Wang Lauren Hong Shouling Ji Ting Wang AAML 103 0 0 20 Nov 2024
Transferable Adversarial Attacks against ASR Xiaoxue Gao Zexin Li Yiming Chen Cong Liu Yiming Li AAML 36 1 0 14 Nov 2024
Stochastic Monkeys at Play: Random Augmentations Cheaply Break LLM Safety Alignment Jason Vega Junsheng Huang Gaokai Zhang Hangoo Kang Minjia Zhang Gagandeep Singh 39 0 0 05 Nov 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou Weizhi Gao Yuchen Shen Feiyi Wang Xiaorui Liu VLM 30 2 0 30 Oct 2024
TaeBench: Improving Quality of Toxic Adversarial Examples Xuan Zhu Dmitriy Bespalov Liwen You Ninad Kulkarni Yanjun Qi AAML 65 0 0 08 Oct 2024
SteerDiff: Steering towards Safe Text-to-Image Diffusion Models Hongxiang Zhang Yifeng He Hao Chen 31 3 0 03 Oct 2024
Scrambled text: training Language Models to correct OCR errors using synthetic data Jonathan Bourne SyDa 38 2 0 29 Sep 2024
Detecting Dataset Abuse in Fine-Tuning Stable Diffusion Models for Text-to-Image Synthesis Songrui Wang Yubo Zhu Wei Tong Sheng Zhong WIGM 33 0 0 27 Sep 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 29 2 0 26 Sep 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Guanyi Mou Yichuan Li Kyumin Lee 36 3 0 26 Sep 2024
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection Guanyi Mou Pengyi Ye Kyumin Lee 39 17 0 25 Sep 2024
An Effective, Robust and Fairness-aware Hate Speech Detection Framework Guanyi Mou Kyumin Lee 29 2 0 25 Sep 2024
Jailbreaking Text-to-Image Models with LLM-Based Agents Yingkai Dong Zheng Li Xiangtao Meng Ning Yu Shanqing Guo LLMAG 45 13 0 01 Aug 2024
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification Boyang Zhang Yicong Tan Yun Shen Ahmed Salem Michael Backes Savvas Zannettou Yang Zhang LLMAG AAML 48 15 0 30 Jul 2024
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent Hetvi Waghela Jaydip Sen Sneha Rakshit AAML SILM 41 2 0 29 Jul 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 42 10 0 27 Jul 2024
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 54 0 0 21 Jul 2024
Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context Nilanjana Das Edward Raff Manas Gaur AAML 35 2 0 19 Jul 2024
Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models Dong Shu Mingyu Jin Tianle Chen Chong Zhang Yongfeng Zhang ELM SILM 36 1 0 12 Jul 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Qiongkai Xu Mark Dras SILM AAML 52 0 0 28 Jun 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee 34 2 0 28 Jun 2024
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising Zhenhao Li Huichi Zhou Marek Rei Lucia Specia DiffM 34 0 0 28 Jun 2024
Spiking Convolutional Neural Networks for Text Classification Changze Lv Jianhan Xu Xiaoqing Zheng 56 28 0 27 Jun 2024
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems Đorđe Klisura Anthony Rios AAML 24 1 0 20 Jun 2024
MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification Harrison Gietz Jugal Kalita AAML 29 1 0 18 Jun 2024
Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation Hetvi Waghela Jaydip Sen Sneha Rakshit AAML 39 4 0 18 Jun 2024
E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models Zhenyu Zhang Bingguang Hao Jinpeng Li Zekai Zhang Dongyan Zhao 33 0 0 16 Jun 2024
Adversarial Evasion Attack Efficiency against Large Language Models João Vitorino Eva Maia Isabel Praça AAML 43 2 0 12 Jun 2024
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement Pengwei Zhan Zhen Xu Qian Tan Jie Song Ru Xie 51 7 0 31 May 2024
Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks S. Azumah Nelly Elsayed Zag ElSayed Murat Ozer Amanda La Guardia 46 1 0 30 May 2024
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation Harsh Chaudhari Giorgio Severi John Abascal Matthew Jagielski Christopher A. Choquette-Choo Milad Nasr Cristina Nita-Rotaru Alina Oprea SILM AAML 80 29 0 30 May 2024
Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models Simon Chi Lok Yu Jie He Pasquale Minervini Jeff Z. Pan 28 0 0 24 May 2024