v1v2 (latest)

Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,015 papers shown

Title
Timbre-reserved Adversarial Attack in Speaker Identification Qing Wang Jixun Yao Li Zhang Pengcheng Guo Linfu Xie AAML 81 4 0 02 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy Ruihan Zhang Peixin Zhang Jun Sun AAML 65 0 0 02 Sep 2023
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models Changyu Liu Yuling Jiao Junhui Wang Jian Huang AAML 43 2 0 02 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki Shin'ya Yamaguchi Shoichiro Takeda Sekitoshi Kanai Naoki Makishima Atsushi Ando Ryo Masumura AAML 99 5 0 31 Aug 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review Zhenyong Zhang Mengxiang Liu Mingyang Sun Ruilong Deng Peng Cheng Dusit Niyato Mo-Yuen Chow Jiming Chen 115 47 0 30 Aug 2023
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models Takami Sato Justin Yue Nanze Chen Ningfei Wang Qi Alfred Chen DiffM 74 3 0 30 Aug 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks Arezoo Rajabi Surudhi Asokraj Feng-Shr Jiang Luyao Niu Bhaskar Ramasubramanian J. Ritcey Radha Poovendran AAML 63 1 0 30 Aug 2023
Adaptive Attack Detection in Text Classification: Leveraging Space Exploration Features for Text Sentiment Classification Atefeh Mahdavi Neda Keivandarian Marco Carvalho AAML 15 0 0 29 Aug 2023
Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning Xuwei Tan Yi-Jie Huang Yaqian Li 131 2 0 29 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt Nassir Navab Benjamin Busam F. Tombari 3DPC 91 8 0 29 Aug 2023
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 70 4 0 29 Aug 2023
Advancing Adversarial Robustness Through Adversarial Logit Update Hao Xuan Peican Zhu Xingyu Li AAML 85 0 0 29 Aug 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 79 2 0 28 Aug 2023
Adversarial Attacks on Foundational Vision Models Nathan Inkawhich Gwendolyn McDonald R. Luley VLM 73 13 0 28 Aug 2023
Fast Adversarial Training with Smooth Convergence Mengnan Zhao Lulu Zhang Yuqiu Kong Baocai Yin AAML 51 8 0 24 Aug 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
On-Manifold Projected Gradient Descent Aaron Mahler Tyrus Berry Thomas Stephens Harbir Antil Michael Merritt Jeanie Schreiber Ioannis G. Kevrekidis AAML 84 0 0 23 Aug 2023
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack Ningfei Wang Y. Luo Takami Sato Kaidi Xu Qi Alfred Chen AAML 74 34 0 23 Aug 2023
Adversarial Training Using Feedback Loops Ali Haisam Muhammad Rafid Adrian Sandu AAML 48 1 0 23 Aug 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging Xiaojun Jia YueFeng Chen Xiaofeng Mao Ranjie Duan Jindong Gu Rong Zhang H. Xue Xiaochun Cao AAML 67 11 0 22 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 98 1 0 21 Aug 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 70 0 0 21 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Zhijin Ge Fanhua Shang Hongying Liu Yuanyuan Liu Liang Wan Wei Feng Xiaosen Wang AAML 98 19 0 21 Aug 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting Qidong Huang Xiaoyi Dong DongDong Chen Yinpeng Chen Lu Yuan Gang Hua Weiming Zhang Neng H. Yu AAML 110 9 0 20 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 115 44 0 20 Aug 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 93 19 0 19 Aug 2023
Distributionally Robust Cross Subject EEG Decoding Tiehang Duan Zhenyi Wang Gianfranco Doretto Fang Li Cui Tao Don Adjeroh 38 3 0 19 Aug 2023
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees Luca Marzari Davide Corsi Enrico Marchesini Alessandro Farinelli Ferdinando Cicalese AAML 64 12 0 18 Aug 2023
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software Wenxuan Wang Jingyuan Huang Jen-tse Huang Chang Chen Jiazhen Gu Pinjia He Michael R. Lyu VLM 69 6 0 18 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 88 0 0 17 Aug 2023
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models Zhongliang Guo Weiye Li Yifei Qian Ognjen Arandjelovic Lei Fang AAML 90 14 0 17 Aug 2023
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks Mirazul Haque Wei Yang AAML 53 2 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 77 2 0 16 Aug 2023
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification Raza Imam Ibrahim Almakky Salma Alrashdi Baketah Alrashdi Mohammad Yaqub AAML 60 1 0 15 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
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective Guanghui Zhu Meng Chen Chun Yuan Jiaming Ji AAML 69 7 0 15 Aug 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 86 3 0 15 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 77 5 0 15 Aug 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts Guy Gaziv Michael J. Lee J. DiCarlo AAML 75 7 0 14 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 61 26 0 13 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 38 2 0 12 Aug 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook Amira Guesmi Muhammad Abdullah Hanif B. Ouni Muhammed Shafique AAML 125 23 0 11 Aug 2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models Liang Zhang Nathaniel Xu Pengfei Yang Gao Jin Cheng-Chao Huang Lijun Zhang 101 9 0 11 Aug 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks Xinjie Dong Rui Wang Siyuan Liang Aishan Liu Lihua Jing AAML PICV 91 9 0 11 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks Blerta Lindqvist AAML 75 0 0 10 Aug 2023
Generating Transferable and Stealthy Adversarial Patch via Attention-guided Adversarial Inpainting Yanjie Li Mingxing Duan Xuelong Dai Bin Xiao AAML 71 0 0 10 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 81 1 0 08 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 71 6 0 07 Aug 2023
CGBA: Curvature-aware Geometric Black-box Attack Md. Farhamdur Reza A. Rahmati Tianfu Wu H. Dai AAML 83 20 0 06 Aug 2023
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation Amira Guesmi Muhammad Abdullah Hanif B. Ouni Mohamed Bennai MDE 82 13 0 06 Aug 2023