Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 40 0 0 08 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 58 2 0 07 Dec 2023
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 31 1 0 06 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 53 2 0 06 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection Xiaohu Lu H. Radha AAML 3DPC 44 0 0 05 Dec 2023
Scaling Laws for Adversarial Attacks on Language Model Activations Stanislav Fort 26 15 0 05 Dec 2023
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models Xunguang Wang Zhenlan Ji Pingchuan Ma Zongjie Li Shuai Wang MLLM 48 12 0 04 Dec 2023
Rethinking Adversarial Training with Neural Tangent Kernel Guanlin Li Han Qiu Shangwei Guo Jiwei Li Tianwei Zhang AAML 34 0 0 04 Dec 2023
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 64 8 0 30 Nov 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri Julia Grabinski Margret Keuper 35 6 0 29 Nov 2023
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields Xiaoliang Liu Shen Furao Feng Han Jian Zhao Changhai Nie AAML 33 0 0 29 Nov 2023
Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks Lucas Beerens D. Higham 41 1 0 28 Nov 2023
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies Mulin Tian Mahyar Khayatkhoei Joe Mathai Wael AbdAlmageed 47 6 0 28 Nov 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts Yichao Cai Yuhang Liu Zhen Zhang Javen Qinfeng Shi CLIP VLM 39 8 0 28 Nov 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement Avani Gupta Saurabh Saini P. J. Narayanan 38 7 0 26 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 37 2 0 26 Nov 2023
Trainwreck: A damaging adversarial attack on image classifiers Jan Zahálka 41 1 0 24 Nov 2023
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid 63 2 0 23 Nov 2023
Efficient Trigger Word Insertion Yueqi Zeng Ziqiang Li Pengfei Xia Lei Liu Bin Li AAML 30 5 0 23 Nov 2023
Transfer Attacks and Defenses for Large Language Models on Coding Tasks Chi Zhang Zifan Wang Ravi Mangal Matt Fredrikson Limin Jia Corina S. Pasareanu AAML SILM 34 1 0 22 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 29 1 0 22 Nov 2023
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection Renu Sharma Redwan Sony Arun Ross AAML 21 3 0 21 Nov 2023
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information Zhengmian Hu Gang Wu Saayan Mitra Ruiyi Zhang Tong Sun Heng-Chiao Huang Vishy Swaminathan 37 24 0 20 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 68 3 0 20 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 30 2 0 18 Nov 2023
Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach Neelanjana Pal Taylor T. Johnson 32 0 0 16 Nov 2023
Extending Neural Network Verification to a Larger Family of Piece-wise Linear Activation Functions László Antal Hana Masara Erika Ábrahám 41 0 0 16 Nov 2023
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Yueqing Liang Lu Cheng Ali Payani Kai Shu 28 3 0 15 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 38 0 0 15 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 37 0 0 14 Nov 2023
1-Lipschitz Neural Networks are more expressive with N-Activations Bernd Prach Christoph H. Lampert AAML FAtt 33 0 0 10 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 36 4 0 09 Nov 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 43 2 0 09 Nov 2023
Deep anytime-valid hypothesis testing T. Pandeva Patrick Forré Aaditya Ramdas S. Shekhar 40 4 0 30 Oct 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 36 12 0 30 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 38 0 0 29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 39 10 0 28 Oct 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 48 6 0 27 Oct 2023
Artifact-Robust Graph-Based Learning in Digital Pathology Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD 32 0 0 27 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David Wagner AAML 46 6 0 26 Oct 2023
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 51 3 0 26 Oct 2023
Codebook Features: Sparse and Discrete Interpretability for Neural Networks Alex Tamkin Mohammad Taufeeque Noah D. Goodman 45 27 0 26 Oct 2023
Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World Zhiling Zhang Jie Zhang Kui Zhang Wenbo Zhou Weiming Zhang Neng H. Yu 32 1 0 24 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 34 23 0 23 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval Xu Yuan Zheng Zhang Xunguang Wang Lin Wu AAML 42 11 0 23 Oct 2023
Diffusion-Based Adversarial Purification for Speaker Verification Yibo Bai Ju Liu Xuelong Li DiffM 47 2 0 22 Oct 2023
Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input Minh Nguyen Nancy F. Chen 30 0 0 21 Oct 2023
Toward Stronger Textual Attack Detectors Pierre Colombo Marine Picot Nathan Noiry Guillaume Staerman Pablo Piantanida 69 5 0 21 Oct 2023
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 43 4 0 21 Oct 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 51 0 0 21 Oct 2023