v1v2v3 (latest)

DeepFool: a simple and accurate method to fool deep neural networks

14 November 2015

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "DeepFool: a simple and accurate method to fool deep neural networks"

50 / 2,298 papers shown

Title
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 64 16 0 26 Oct 2021
Can't Fool Me: Adversarially Robust Transformer for Video Understanding D. Choudhary Palash Goyal Saurabh Sahu ViT 41 0 0 26 Oct 2021
Frequency Centric Defense Mechanisms against Adversarial Examples Sanket B. Shah Param Raval Harin Khakhi M. Raval AAML 81 7 0 26 Oct 2021
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks Qiyu Kang Yang Song Qinxu Ding Wee Peng Tay AAML 63 93 0 25 Oct 2021
Generating Watermarked Adversarial Texts Mingjie Li Hanzhou Wu Xinpeng Zhang AAML WaLM 86 1 0 25 Oct 2021
Fast Gradient Non-sign Methods Yaya Cheng Jingkuan Song Xiaosu Zhu Qilong Zhang Lianli Gao Heng Tao Shen AAML 125 11 0 25 Oct 2021
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models Kiran Purohit Soumili Das Jia Wang He Zhu Santu Rana Gabriele Tolomei CML OffRL 93 38 0 22 Oct 2021
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering Amir Hosein Afandizadeh Zargari Marzieh Ashrafiamiri Minjun Seo Sai Manoj P D M. Fouda Fadi J. Kurdahi AAML 44 3 0 21 Oct 2021
Moiré Attack (MA): A New Potential Risk of Screen Photos Dantong Niu Ruohao Guo Yisen Wang AAML 67 2 0 20 Oct 2021
A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification Linhai Ma Liang Liang 99 21 0 19 Oct 2021
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information Baolin Zheng Peipei Jiang Qian Wang Qi Li Chao Shen Cong Wang Yunjie Ge Qingyang Teng Shenyi Zhang AAML 41 73 0 19 Oct 2021
Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm Tengfei Zhao Zhaocheng Ge Han Hu Di Shi AAML 57 3 0 15 Oct 2021
Identification of Attack-Specific Signatures in Adversarial Examples Hossein Souri Pirazh Khorramshahi Chun Pong Lau Micah Goldblum Rama Chellappa AAML MLAU 96 4 0 13 Oct 2021
Adversarial Attack across Datasets Yunxiao Qin Yuanhao Xiong Jinfeng Yi Lihong Cao Cho-Jui Hsieh AAML 89 3 0 13 Oct 2021
Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning? Guy Heller Ethan Fetaya BDL 79 3 0 11 Oct 2021
Boosting Fast Adversarial Training with Learnable Adversarial Initialization Xiaojun Jia Yong Zhang Baoyuan Wu Jue Wang Xiaochun Cao AAML 102 55 0 11 Oct 2021
Universal Adversarial Attacks on Neural Networks for Power Allocation in a Massive MIMO System P. M. Santos M. I. B. R. Manoj Member Ieee Meysam Sadeghi F. I. Erik G. Larsson AAML 42 14 0 10 Oct 2021
Demystifying the Transferability of Adversarial Attacks in Computer Networks Ehsan Nowroozi Yassine Mekdad Mohammad Hajian Berenjestanaki Mauro Conti Abdeslam El Fergougui AAML 98 34 0 09 Oct 2021
Adversarial Training for Face Recognition Systems using Contrastive Adversarial Learning and Triplet Loss Fine-tuning Nazmul Karim Umar Khalid Nick Meeker Sarinda Samarasinghe 35 3 0 09 Oct 2021
Explainability-Aware One Point Attack for Point Cloud Neural Networks Hanxiao Tan Helena Kotthaus 3DPC AAML 84 11 0 08 Oct 2021
Game Theory for Adversarial Attacks and Defenses Shorya Sharma AAML 56 3 0 08 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 36 1 0 07 Oct 2021
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision Julian Buchel Gregor Lenz Yalun Hu Sadique Sheik M. Sorbaro AAML 88 15 0 06 Oct 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu Massoud Pedram Peter A. Beerel AAML 86 75 0 06 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 100 80 0 06 Oct 2021
Reversible Attack based on Local Visual Adversarial Perturbation Li Chen Shaowei Zhu Z. Yin AAML 40 5 0 06 Oct 2021
Adversarial defenses via a mixture of generators Maciej Żelaszczyk Jacek Mańdziuk AAML 30 0 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 213 383 0 04 Oct 2021
You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors Zijian Zhu Hang Su Chang-rui Liu Wenzhao Xiang Shibao Zheng AAML 54 6 0 30 Sep 2021
Introducing the DOME Activation Functions Mohamed E. Hussein Wael AbdAlmageed 57 1 0 30 Sep 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness Moninder Singh Gevorg Ghalachyan Kush R. Varshney R. Bryant 57 9 0 29 Sep 2021
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 44 7 0 25 Sep 2021
Local Intrinsic Dimensionality Signals Adversarial Perturbations Sandamal Weerasinghe T. Alpcan S. Erfani C. Leckie Benjamin I. P. Rubinstein AAML 42 0 0 24 Sep 2021
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation Theo Jaunet G. Bono Romain Vuillemot Christian Wolf 66 4 0 24 Sep 2021
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers H. Yu Shihfeng Zeng Teng Zhang Ing-Chao Lin Yier Jin AAML 400 1 0 22 Sep 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan Oseledets AAML 84 16 0 22 Sep 2021
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms Amin Eslami Abyane Hadi Hemmati AAML 74 3 0 20 Sep 2021
Adversarial Training with Contrastive Learning in NLP Daniela N. Rim DongNyeong Heo Heeyoul Choi AAML 57 14 0 19 Sep 2021
S $^3$ VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation Harsh Rangwani Arihant Jain Sumukh K Aithal R. Venkatesh Babu TTA 94 31 0 18 Sep 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 71 4 0 16 Sep 2021
A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems Moein Sabounchi Jin Wei-Kocsis AAML 69 1 0 13 Sep 2021
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator Wenzhao Xiang Hang Su Chang-rui Liu Yandong Guo Shibao Zheng AAML 83 6 0 13 Sep 2021
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos Nupur Thakur Baoxin Li AAML 83 2 0 13 Sep 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings M. Narayanan Vickram Rajendran Benjamin Kimia 73 14 0 13 Sep 2021
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks Alexander Bastounis A. Hansen Verner Vlacic AAML OOD 105 28 0 13 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 168 14 0 11 Sep 2021
Spatially Focused Attack against Spatiotemporal Graph Neural Networks Fuqiang Liu L. Miranda-Moreno Lijun Sun AAML AI4TS 49 5 0 10 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning Yangyi Chen Jingtong Su Wei Wei AAML 52 33 0 09 Sep 2021
Energy Attack: On Transferring Adversarial Examples Ruoxi Shi Borui Yang Yangzhou Jiang Chenglong Zhao Bingbing Ni AAML 28 2 0 09 Sep 2021
Adversarial Parameter Defense by Multi-Step Risk Minimization Zhiyuan Zhang Ruixuan Luo Xuancheng Ren Qi Su Liangyou Li Xu Sun AAML 64 6 0 07 Sep 2021