Crafting Adversarial Input Sequences for Recurrent Neural Networks

28 April 2016

Papers citing "Crafting Adversarial Input Sequences for Recurrent Neural Networks"

50 / 206 papers shown

Title
Coordinated Robustness Evaluation Framework for Vision-Language Models Ashwin Ramesh Babu Sajad Mousavi Vineet Gundecha Sahand Ghorbanpour Avisek Naug Antonio Guillen Ricardo Luna Gutierrez Soumyendu Sarkar AAML 14 0 0 05 Jun 2025
Tarallo: Evading Behavioral Malware Detectors in the Problem Space Gabriele Digregorio Salvatore Maccarrone Mario DÓnghia Luigi Gallo Michele Carminati Mario Polino S. Zanero AAML 46 0 0 03 Jun 2025
No Query, No Access Wenjie Wang Siyuan Liang Yize Zhang Xiaojun Jia Hao Lin Xiaochun Cao AAML 105 1 0 12 May 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 106 3 0 25 Mar 2025
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou Weizhi Gao Yuchen Shen Feiyi Wang Xiaorui Liu VLM 58 2 0 30 Oct 2024
Adversarial Attacks on Large Language Models Using Regularized Relaxation Samuel Jacob Chacko Sajib Biswas Chashi Mahiul Islam Fatema Tabassum Liza Xiuwen Liu AAML 82 3 0 24 Oct 2024
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation Haocong Li Yaxin Zhang Long Cheng Wenjia Niu Haining Wang Qiang Li AAML 64 0 0 17 Jun 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 82 3 0 30 May 2024
Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models Yiming Chen Chen Zhang Danqing Luo L. F. D’Haro R. Tan Haizhou Li AAML ELM 84 3 0 23 May 2024
Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations Sukmin Cho Soyeong Jeong Jeongyeon Seo Taeho Hwang Jong C. Park SILM AAML 104 32 0 22 Apr 2024
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection Yekai Li Rufan Zhang Wenxin Rong Xianghang Mi 87 2 0 15 Apr 2024
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods Roopkatha Dey Aivy Debnath Sayak Kumar Dutta Kaustav Ghosh Arijit Mitra Arghya Roy Chowdhury Jaydip Sen AAML SILM 56 1 0 08 Apr 2024
Reversible Jump Attack to Textual Classifiers with Modification Reduction Mingze Ni Zhensu Sun Wei Liu AAML 56 0 0 21 Mar 2024
Adversarial Testing for Visual Grounding via Image-Aware Property Reduction Zhiyuan Chang Mingyang Li Junjie Wang Cheng Li Boyu Wu Fanjiang Xu Qing Wang AAML 61 0 0 02 Mar 2024
Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials Gennaro Nolano Moritz Blum Basil Ell Philipp Cimiano 55 1 0 29 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 71 1 0 20 Feb 2024
Discovering Universal Semantic Triggers for Text-to-Image Synthesis Shengfang Zhai Weilong Wang Jiajun Li Yinpeng Dong Hang Su Qingni Shen EGVM 61 3 0 12 Feb 2024
Arabic Synonym BERT-based Adversarial Examples for Text Classification Norah M. Alshahrani Saied Alshahrani Esma Wali Jeanna Neefe Matthews AAML 60 6 0 05 Feb 2024
Fast Adversarial Training against Textual Adversarial Attacks Yichen Yang Xin Liu Kun He AAML 39 4 0 23 Jan 2024
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention Lujia Shen Yuwen Pu Shouling Ji Changjiang Li Xuhong Zhang Chunpeng Ge Ting Wang AAML 55 6 0 29 Nov 2023
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks Quang H. Nguyen Yingjie Lao Tung Pham Kok-Seng Wong Khoa D. Doan AAML SILM 81 1 0 01 Oct 2023
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities Maximilian Mozes Xuanli He Bennett Kleinberg Lewis D. Griffin 87 87 0 24 Aug 2023
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models Yugeng Liu Tianshuo Cong Zhengyu Zhao Michael Backes Yun Shen Yang Zhang AAML 90 8 0 15 Aug 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification J. Wu Dit-Yan Yeung SILM 72 0 0 04 Jul 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 121 50 0 17 Jun 2023
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy Xiaoting Li Ling-Hao Chen Dinghao Wu AAML SILM 61 6 0 04 Jun 2023
Adversarial Demonstration Attacks on Large Language Models Jiong Wang Zi-yang Liu Keun Hee Park Zhuojun Jiang Zhaoheng Zheng Zhuofeng Wu Muhao Chen Chaowei Xiao SILM 93 56 0 24 May 2023
Dynamic Transformers Provide a False Sense of Efficiency Yiming Chen Simin Chen Zexin Li Wei Yang Cong Liu R. Tan Haizhou Li AAML 90 12 0 20 May 2023
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility Wen-song Ye Mingfeng Ou Tianyi Li Yipeng Chen Xuetao Ma ... Sai Wu Jie Fu Gang Chen Haobo Wang Jiaqi Zhao 96 38 0 15 May 2023
White-Box Multi-Objective Adversarial Attack on Dialogue Generation Yufei Li Zexin Li Ying Gao Cong Liu AAML 48 12 0 05 May 2023
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks Yunruo Zhang Tianyu Du S. Ji Peng Tang Shanqing Guo AAML 59 2 0 17 Apr 2023
Model-Agnostic Reachability Analysis on Deep Neural Networks Chi Zhang Wenjie Ruan Fu Lee Wang Peipei Xu Geyong Min Xiaowei Huang 53 3 0 03 Apr 2023
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning Thorsten Eisenhofer Erwin Quiring Jonas Moller Doreen Riepel Thorsten Holz Konrad Rieck AAML 59 6 0 25 Mar 2023
Efficient Symbolic Reasoning for Neural-Network Verification Zi Wang S. Jha Krishnamurthy Dvijotham Dvijotham AAML NAI 81 2 0 23 Mar 2023
Evaluating the Robustness of Conversational Recommender Systems by Adversarial Examples Ali Montazeralghaem James Allan AAML SILM 72 0 0 09 Mar 2023
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process Mingze Ni Zhen-Biao Sun Wei Liu AAML SILM 72 7 0 01 Mar 2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy Lujia Shen Xuhong Zhang S. Ji Yuwen Pu Chunpeng Ge Xing Yang Yanghe Feng AAML 57 8 0 12 Feb 2023
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend Ning Lu Shengcai Liu Zhirui Zhang Qi. Wang Haifeng Liu Jiaheng Zhang AAML 139 8 0 06 Feb 2023
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models Son Quoc Tran Phong Nguyen-Thuan Do Uyen Le Matt Kretchmar ELM AAML 83 8 0 31 Jan 2023
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning R. Vinod Pin-Yu Chen Payel Das 137 14 0 05 Jan 2023
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs Hongyan Bao Yufei Han Yujun Zhou Xin Gao Xiangliang Zhang AAML 70 5 0 13 Dec 2022
Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation Zhiqi Bu AAML 55 0 0 09 Nov 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP Yangyi Chen Hongcheng Gao Ganqu Cui Fanchao Qi Longtao Huang Zhiyuan Liu Maosong Sun SILM 62 56 0 19 Oct 2022
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack Yanyun Wang Dehui Du Haibo Hu Zi Liang Yuanhao Liu AAML AI4TS 92 3 0 14 Sep 2022
PromptAttack: Prompt-based Attack for Language Models via Gradient Search Yundi Shi Piji Li Changchun Yin Zhaoyang Han Zhe Liu Zhe Liu AAML SILM 120 21 0 05 Sep 2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search Bin Ji Jie Yu Shasha Li Jun Ma Shezheng Song AAML 59 1 0 17 Aug 2022
Careful What You Wish For: on the Extraction of Adversarially Trained Models Kacem Khaled Gabriela Nicolescu F. Magalhães MIACV AAML 78 4 0 21 Jul 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 56 11 0 21 Jul 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization Deokjae Lee Seungyong Moon Junhyeok Lee Hyun Oh Song AAML 64 39 0 17 Jun 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 101 5 0 15 May 2022