Adversarial Attacks and Defences: A Survey

28 September 2018

Papers citing "Adversarial Attacks and Defences: A Survey"

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Title
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks Brian Formento Wenjie Feng Chuan-Sheng Foo Anh Tuan Luu See-Kiong Ng AAML 101 7 0 27 Mar 2024
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges Yanshen Sun Jianfeng He Limeng Cui Shuo Lei Chang-Tien Lu 112 32 0 27 Mar 2024
Robust optimization for adversarial learning with finite sample complexity guarantees André Bertolace Konstatinos Gatsis Kostas Margellos AAML 59 1 0 22 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 115 32 0 20 Mar 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance Yifei Shen Xinyang Jiang Yezhen Wang Yifan Yang Dongqi Han Dongsheng Li FaML 86 14 0 19 Mar 2024
Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning Dongmin Park Zhaofang Qian Guangxing Han Ser-Nam Lim MLLM 77 0 0 15 Mar 2024
A Language Model's Guide Through Latent Space Dimitri von Rutte Sotiris Anagnostidis Gregor Bachmann Thomas Hofmann 105 28 0 22 Feb 2024
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation Yunjuan Wang Hussein Hazimeh Natalia Ponomareva Alexey Kurakin Ibrahim Hammoud Raman Arora OOD AAML 71 0 0 16 Feb 2024
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models Weiheng Chai Brian Testa Huantao Ren Asif Salekin Senem Velipasalar 27 0 0 14 Feb 2024
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks Yixin Cheng Markos Georgopoulos Volkan Cevher Grigorios G. Chrysos AAML 71 15 0 14 Feb 2024
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks Ziquan Liu Zhuo Zhi Ilija Bogunovic Carsten Gerner-Beuerle Miguel R. D. Rodrigues AAML 68 0 0 04 Feb 2024
Benchmarking Transferable Adversarial Attacks Zhibo Jin Jiayu Zhang Zhiyu Zhu Huaming Chen AAML 85 5 0 01 Feb 2024
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers Shaeke Salman M. Shams Xiuwen Liu 87 6 0 28 Jan 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models Erik Arakelyan Zhaoqi Liu Isabelle Augenstein AAML 141 12 0 25 Jan 2024
WAVES: Benchmarking the Robustness of Image Watermarks Bang An Mucong Ding Tahseen Rabbani Aakriti Agrawal Yuancheng Xu ... Sicheng Zhu Abdirisak Mohamed Yuxin Wen Tom Goldstein Furong Huang 137 50 0 16 Jan 2024
SENet: Visual Detection of Online Social Engineering Attack Campaigns Irfan Ozen Karthika Subramani Phani Vadrevu R. Perdisci 61 2 0 10 Jan 2024
ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments Maghsood Salimi Mohammad Loni Sara Afshar Antonio Cicchetti Marjan Sirjani 45 2 0 27 Dec 2023
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction Zhixuan Chu Mengxuan Hu Daixin Wang Longfei Li Sheng Li OOD CML 40 12 0 20 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 61 0 0 12 Dec 2023
Target-agnostic Source-free Domain Adaptation for Regression Tasks Tianlang He Zhiqiu Xia Jierun Chen Haoliang Li S.-H. Gary Chan 77 4 0 01 Dec 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 112 2 0 29 Nov 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Kenfack 89 5 0 28 Nov 2023
Having Second Thoughts? Let's hear it J. H. Lee Sujith Vijayan AAML 18 0 0 26 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 135 3 0 20 Nov 2023
Towards Robust and Accurate Visual Prompting Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang VPVLM VLM 64 3 0 18 Nov 2023
A Framework for Monitoring and Retraining Language Models in Real-World Applications Jaykumar Kasundra Claudia Schulz Melicaalsadat Mirsafian Stavroula Skylaki OffRL LRM 54 1 0 16 Nov 2023
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators Hansika Weerasena Prabhat Mishra FedML 128 5 0 01 Nov 2023
LUNA: A Model-Based Universal Analysis Framework for Large Language Models Da Song Xuan Xie Jiayang Song Derui Zhu Yuheng Huang Felix Juefei Xu Lei Ma ALM 101 5 0 22 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 88 3 0 20 Oct 2023
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models Gabriele Tolomei Cesare Campagnano Fabrizio Silvestri Giovanni Trappolini 77 4 0 07 Oct 2023
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations Jiachi Liu Liwen Wang Guanting Dong Xiaoshuai Song Zechen Wang ... Shanglin Lei Jinzheng Zhao Keqing He Bo Xiao Weiran Xu 114 6 0 05 Oct 2023
On the Trade-offs between Adversarial Robustness and Actionable Explanations Satyapriya Krishna Chirag Agarwal Himabindu Lakkaraju AAML 84 0 0 28 Sep 2023
PRAT: PRofiling Adversarial aTtacks Rahul Ambati Naveed Akhtar Ajmal Mian Yogesh S Rawat AAML 51 1 0 20 Sep 2023
Model Leeching: An Extraction Attack Targeting LLMs Lewis Birch William Hackett Stefan Trawicki N. Suri Peter Garraghan 78 13 0 19 Sep 2023
Machine Translation Models Stand Strong in the Face of Adversarial Attacks Pavel Burnyshev Elizaveta Kostenok Alexey Zaytsev SILM AAML 79 0 0 10 Sep 2023
Adaptive Adversarial Training Does Not Increase Recourse Costs Ian Hardy Jayanth Yetukuri Yang Liu AAML 47 1 0 05 Sep 2023
Toward Defensive Letter Design Rentaro Kataoka Akisato Kimura Seiichi Uchida AAML 41 0 0 04 Sep 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
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 93 2 0 23 Aug 2023
Hiding Backdoors within Event Sequence Data via Poisoning Attacks Elizaveta Kovtun A. Ermilova Dmitry Berestnev Alexey Zaytsev SILM AAML 66 1 0 20 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 133 3 0 20 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 79 0 0 17 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models Brijesh Vora Kartik Patwari Syed Mahbub Hafiz Zubair Shafiq Chen-Nee Chuah AAML 67 2 0 16 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 61 6 0 15 Aug 2023
Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks R. Garaev Bader Rasheed Adil Mehmood Khan AAML OOD 36 2 0 12 Aug 2023
Assessing Systematic Weaknesses of DNNs using Counterfactuals Sujan Sai Gannamaneni Michael Mock Maram Akila AAML 64 4 0 03 Aug 2023
Covert Communication in Autoencoder Wireless Systems Ali Mohammadi Teshnizi Majid Ghaderi Dennis Goeckel 29 1 0 17 Jul 2023
A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems M. Ramalingam C. Selvi Nancy Victor Rajeswari Chengoden S. Bhattacharya ... Duehee Lee Md. Jalil Piran Neelu Khare Gokul Yenduri Thippa Reddy Gadekallu 80 7 0 13 Jul 2023
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints Matthias Anton Freiberger Peter Kun Christian Igel A. Løvlie S. Risi VLM AAML 101 2 0 07 Jul 2023
Jailbroken: How Does LLM Safety Training Fail? Alexander Wei Nika Haghtalab Jacob Steinhardt 218 1,004 0 05 Jul 2023