Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

13 January 2018

Papers citing "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers"

50 / 360 papers shown

Title
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation Pietro Liguori Cristina Improta S. D. Vivo R. Natella B. Cukic Domenico Cotroneo AAML 41 4 0 29 Mar 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation Hanjie Chen Yangfeng Ji OOD AAML VLM 29 21 0 23 Mar 2022
Input-specific Attention Subnetworks for Adversarial Detection Emil Biju Anirudh Sriram Pratyush Kumar Mitesh M Khapra AAML 28 5 0 23 Mar 2022
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense Thai Le Jooyoung Lee Kevin Yen Yifan Hu Dongwon Lee AAML 14 17 0 19 Mar 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML 29 4 0 19 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 34 30 0 12 Mar 2022
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers Sahar Sadrizadeh Ljiljana Dolamic P. Frossard AAML 17 10 0 11 Mar 2022
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers Evan Crothers Nathalie Japkowicz H. Viktor Paula Branco AAML DeLMO 26 28 0 02 Mar 2022
Robust Textual Embedding against Word-level Adversarial Attacks Yichen Yang Xiaosen Wang Kun He AAML 22 16 0 28 Feb 2022
$$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning$ $\mathcal{Y}$ -Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning Yitao Liu Chen An Xipeng Qiu 29 17 0 20 Feb 2022
Data-Driven Mitigation of Adversarial Text Perturbation Rasika Bhalerao Mohammad Al-Rubaie Anand Bhaskar Igor L. Markov 19 8 0 19 Feb 2022
Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models Abigail Swenor Jugal Kalita AAML 11 12 0 11 Feb 2022
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks Salijona Dyrmishi Salah Ghamizi Thibault Simonetto Yves Le Traon Maxime Cordy AAML 29 16 0 07 Feb 2022
Identifying Adversarial Attacks on Text Classifiers Zhouhang Xie Jonathan Brophy Adam Noack Wencong You Kalyani Asthana Carter Perkins Sabrina Reis Sameer Singh Daniel Lowd AAML 27 9 0 21 Jan 2022
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack Zhen Yu Xiaosen Wang Wanxiang Che Kun He AAML 25 14 0 20 Jan 2022
An Adversarial Benchmark for Fake News Detection Models Lorenzo Jaime Yu Flores Sophie Hao 19 10 0 03 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 32 57 0 03 Jan 2022
On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations Aamir Miyajiwala Arnav Ladkat Samiksha Jagadale Raviraj Joshi AAML 17 7 0 02 Jan 2022
Repairing Adversarial Texts through Perturbation Guoliang Dong Jingyi Wang Jun Sun Sudipta Chattopadhyay Xinyu Wang Ting Dai Jie Shi J. Dong AAML 17 2 0 29 Dec 2021
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 27 5 0 22 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinhsuai Dong Anh Tuan Luu Min-Bin Lin Shuicheng Yan Hanwang Zhang SILM AAML 20 55 0 22 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Adversarial Examples for Extreme Multilabel Text Classification Mohammadreza Qaraei Rohit Babbar 18 6 0 14 Dec 2021
The King is Naked: on the Notion of Robustness for Natural Language Processing Emanuele La Malfa Marta Z. Kwiatkowska 20 28 0 13 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces Volodymyr Kuleshov Evgenii Nikishin S. Thakoor Tingfung Lau Stefano Ermon AAML 27 1 0 12 Dec 2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare Muchao Ye Junyu Luo Guanjie Zheng Cao Xiao Ting Wang Fenglong Ma AAML 24 3 0 11 Dec 2021
Multilingual Text Classification for Dravidian Languages Xiaotian Lin Nankai Lin Kanoksak Wattanachote Shengyi Jiang Lianxi Wang 66 3 0 03 Dec 2021
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems Siyu Wang Yuanjiang Cao Xiaocong Chen L. Yao Xianzhi Wang Quan.Z Sheng AAML 23 3 0 02 Dec 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 27 66 0 18 Nov 2021
Improving the robustness and accuracy of biomedical language models through adversarial training M. Moradi Matthias Samwald AAML OOD MedIm 48 10 0 16 Nov 2021
Personalized Benchmarking with the Ludwig Benchmarking Toolkit A. Narayan Piero Molino Karan Goel W. Neiswanger Christopher Ré 22 11 0 08 Nov 2021
AdvCodeMix: Adversarial Attack on Code-Mixed Data Sourya Dipta Das Ayan Basak Soumil Mandal Dipankar Das AAML 11 3 0 30 Oct 2021
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions I. Alsmadi Kashif Ahmad Mahmoud Nazzal Firoj Alam Ala I. Al-Fuqaha Abdallah Khreishah A. Algosaibi AAML 27 16 0 26 Oct 2021
Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations Marek Galovič B. Bosanský Viliam Lisý AAML 22 5 0 22 Oct 2021
A Short Study on Compressing Decoder-Based Language Models Tianda Li Yassir El Mesbahi I. Kobyzev Ahmad Rashid A. Mahmud Nithin Anchuri Habib Hajimolahoseini Yang Liu Mehdi Rezagholizadeh 93 25 0 16 Oct 2021
Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm Tengfei Zhao Zhaocheng Ge Han Hu Di Shi AAML 35 3 0 15 Oct 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 82 175 0 14 Oct 2021
SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text Hoang-Quoc Nguyen-Son Seira Hidano Kazuhide Fukushima S. Kiyomoto AAML 9 0 0 12 Oct 2021
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models Alexey Birshert Ekaterina Artemova 40 2 0 29 Sep 2021
Avengers Ensemble! Improving Transferability of Authorship Obfuscation Muhammad Haroon Muhammad Fareed Zaffar P. Srinivasan Zubair Shafiq AAML 19 9 0 15 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Wu Ji-Rong Wen AAML 23 7 0 13 Sep 2021
Detecting Textual Adversarial Examples through Randomized Substitution and Vote Xiaosen Wang Yifeng Xiong Kun He AAML 25 11 0 13 Sep 2021
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding Tianda Li Ahmad Rashid A. Jafari Pranav Sharma A. Ghodsi Mehdi Rezagholizadeh AAML 33 5 0 13 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks Bin Zhu Zhaoquan Gu Le Wang Zhihong Tian AAML 36 8 0 13 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning Yangyi Chen Jingtong Su Wei Wei AAML 17 32 0 09 Sep 2021
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack Shengcai Liu Ning Lu Cheng Chen Ke Tang AAML 23 32 0 06 Sep 2021
Towards Improving Adversarial Training of NLP Models Jin Yong Yoo Yanjun Qi AAML 13 123 0 01 Sep 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution Zongyi Li Jianhan Xu Jiehang Zeng Linyang Li Xiaoqing Zheng Qi Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 8 74 0 29 Aug 2021
Semantic-Preserving Adversarial Text Attacks Xinghao Yang Weifeng Liu James Bailey Dacheng Tao Wei Liu AAML 25 16 0 23 Aug 2021
Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms A. Samadi Debapriya Banerjee Shirin Nilizadeh 43 1 0 12 Aug 2021