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Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

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Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

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Title
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach Amira Guesmi Nishant Suresh Aswani Mohamed Bennai FAtt AAML 68 1 0 10 May 2024
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models Vyas Raina Rao Ma Charles G McGhee Kate Knill Mark Gales AAML 71 5 0 09 May 2024
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers Binxiao Huang Jason Chun Lok Li Chang Liu Ngai Wong AAML 116 0 0 09 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 55 2 0 09 May 2024
Adversarial Threats to Automatic Modulation Open Set Recognition in Wireless Networks Yandie Yang Sicheng Zhang Kuixian Li Qiao Tian Yun Lin AAML 129 0 0 08 May 2024
Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks Georgios Pantazopoulos Amit Parekh Malvina Nikandrou Alessandro Suglia 113 5 0 07 May 2024
Revisiting character-level adversarial attacks Elias Abad Rocamora Yongtao Wu Fanghui Liu Grigorios G. Chrysos Volkan Cevher AAML 96 4 0 07 May 2024
Verified Neural Compressed Sensing Rudy Bunel Dj Dvijotham M. P. Kumar Alessandro De Palma Robert Stanforth MLT 101 2 0 07 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 93 4 0 07 May 2024
Explainability-Informed Targeted Malware Misclassification Quincy Card Kshitiz Aryal Maanak Gupta AAML 40 3 0 07 May 2024
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management Ravikumar Balakrishnan Marius Arvinte N. Himayat Hosein Nikopour Hassnaa Moustafa AAML 65 2 0 06 May 2024
On Adversarial Examples for Text Classification by Perturbing Latent Representations Korn Sooksatra Bikram Khanal Pablo Rivas SILM AAML 66 3 0 06 May 2024
Is ReLU Adversarially Robust? Korn Sooksatra Greg Hamerly Pablo Rivas 79 3 0 06 May 2024
Cutting through buggy adversarial example defenses: fixing 1 line of code breaks Sabre Nicholas Carlini AAML 58 2 0 06 May 2024
UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images Y. Qu Xinyue Shen Yixin Wu Michael Backes Savvas Zannettou Yang Zhang EGVM 97 20 0 06 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 67 1 0 06 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 73 1 0 05 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Christian Scano Dmitrijs Trizna Fabio Roli AAML 115 0 0 04 May 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao Jiawei Zhang Zhimin Luo Asuman Ozdaglar AAML 72 2 0 03 May 2024
Adversarial Attacks on Reinforcement Learning Agents for Command and Control Ahaan Dabholkar James Z. Hare Mark R. Mittrick John Richardson Nick Waytowich Priya Narayanan Saurabh Bagchi AAML 66 1 0 02 May 2024
SATO: Stable Text-to-Motion Framework Wenshuo Chen Hongru Xiao Erhang Zhang Lijie Hu Lei Wang Mengyuan Liu Chong Chen 100 9 0 02 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 102 14 0 02 May 2024
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features Francisco Teixeira Karla Pizzi R. Olivier A. Abad Bhiksha Raj Isabel Trancoso AAML 86 2 0 02 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 95 2 0 02 May 2024
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol Wei-Han Wang Chin-Yuan Yeh Hsi-Wen Chen De-Nian Yang Ming-Syan Chen 84 0 0 01 May 2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning Bo Li Haoke Xiao Lv Tang 105 10 0 01 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment Lei Wang Desen Yuan AAML OOD 62 1 0 30 Apr 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective Wanqi Zhou Shuanghao Bai Qibin Zhao Badong Chen VLM AAML 115 9 0 30 Apr 2024
Espresso: Robust Concept Filtering in Text-to-Image Models Anudeep Das Vasisht Duddu Rui Zhang Nadarajah Asokan EGVM 100 9 0 30 Apr 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Christian Scano Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 135 10 0 30 Apr 2024
Exploring the Robustness of In-Context Learning with Noisy Labels Chen Cheng Xinzhi Yu Haodong Wen Jinsong Sun Guanzhang Yue Yihao Zhang Zeming Wei NoLa 61 8 0 28 Apr 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 94 4 0 28 Apr 2024
Cauchy-Schwarz Divergence Information Bottleneck for Regression Shujian Yu Xi Yu Sigurd Løkse Robert Jenssen José C. Príncipe UQCV 80 5 0 27 Apr 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng Tim G. J. Rudner Nikolaos Tsilivis Julia Kempe AAML BDL 126 2 0 27 Apr 2024
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples Kuofeng Gao Jindong Gu Yang Bai Shu-Tao Xia Philip Torr Wei Liu Zhifeng Li 132 13 0 25 Apr 2024
Towards Precise Observations of Neural Model Robustness in Classification Wenchuan Mu Kwan Hui Lim AAML 52 0 0 25 Apr 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks Lihua Jing Rui Wang Wenqi Ren Xinjie Dong Cong Zou AAML 99 10 0 25 Apr 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning David Winderl Nicola Franco J. M. Lorenz AAML 69 3 0 25 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 80 2 0 25 Apr 2024
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models Maximilian Wendlinger Kilian Tscharke Pascal Debus AAML 45 10 0 24 Apr 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains Eunsu Baek Keondo Park Jiyoon Kim Hyung-Sin Kim OODD OOD 122 6 0 24 Apr 2024
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee AAML 74 2 0 24 Apr 2024
An Empirical Study of Aegis Daniel Saragih Paridhi Goel Tejas Balaji Alyssa Li AAML 21 0 0 24 Apr 2024
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception Vidit Khazanchi Pavan Kulkarni Yuvaraj Govindarajulu Manojkumar Somabhai Parmar AAML 72 1 0 24 Apr 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models Jingyao Xu Yuetong Lu Yandong Li Siyang Lu Dongdong Wang Xiang Wei AAML DiffM 77 11 0 23 Apr 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu D. Yin Qing Li AI4CE 130 29 0 23 Apr 2024
A mean curvature flow arising in adversarial training Leon Bungert Tim Laux Kerrek Stinson AAML 67 4 0 22 Apr 2024
Ungeneralizable Examples Jing Ye Xinchao Wang 97 6 0 22 Apr 2024
Protecting Your LLMs with Information Bottleneck Zichuan Liu Zefan Wang Linjie Xu Jinyu Wang Lei Song Tianchun Wang Chunlin Chen Wei Cheng Jiang Bian KELM AAML 119 18 0 22 Apr 2024
Audio Anti-Spoofing Detection: A Survey Menglu Li Yasaman Ahmadiadli Xiao-Ping Zhang 104 25 0 22 Apr 2024