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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 98 4 0 26 Sep 2022
Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks Ehsan Nowroozi Mohammadreza Mohammadi E. Savaş Mauro Conti Yassine Mekdad AAML 75 8 0 25 Sep 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang Rui Wang Tao Huang L. Jing AAML 73 8 0 24 Sep 2022
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 91 54 0 23 Sep 2022
The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices Wanlun Ma Derui Wang Ruoxi Sun Minhui Xue S. Wen Yang Xiang AAML 94 86 0 23 Sep 2022
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier Mozhdeh Rouhsedaghat Masoud Monajatipoor C.-C. Jay Kuo I. Masi 77 7 0 23 Sep 2022
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics Alexander Beattie Pavol Mulinka Subham S. Sahoo I. Christou Charalampos Kalalas Daniel Gutierrez-Rojas P. H. Nardelli 33 6 0 23 Sep 2022
Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu AAML 87 1 0 22 Sep 2022
Talking Trojan: Analyzing an Industry-Wide Disclosure Nicholas Boucher Ross J. Anderson 51 4 0 22 Sep 2022
Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images Jitesh Joshi N. Bianchi-Berthouze Youngjun Cho 40 7 0 21 Sep 2022
NashAE: Disentangling Representations through Adversarial Covariance Minimization Eric C. Yeats Frank Liu David A. P. Womble Hai Helen Li CML 94 10 0 21 Sep 2022
Deep Double Descent via Smooth Interpolation Matteo Gamba Erik Englesson Mårten Björkman Hossein Azizpour 169 11 0 21 Sep 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 74 5 0 20 Sep 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks Abhishek Aich Shasha Li Chengyu Song M. Salman Asif S. Krishnamurthy Amit K. Roy-Chowdhury AAML 93 9 0 20 Sep 2022
Sparse Vicious Attacks on Graph Neural Networks Giovanni Trappolini Valentino Maiorca Silvio Severino Emanuele Rodolà Fabrizio Silvestri Gabriele Tolomei AAML 62 8 0 20 Sep 2022
Understanding Real-world Threats to Deep Learning Models in Android Apps Zizhuang Deng Kai Chen Guozhu Meng Xiaodong Zhang Ke Xu Yao Cheng AAML 68 29 0 20 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks Abhishek Aich Calvin-Khang Ta Akash Gupta Chengyu Song S. Krishnamurthy M. Salman Asif Amit K. Roy-Chowdhury AAML 106 20 0 20 Sep 2022
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography W. E. Kerzendorf Nutan Chen Jack O'Brien J. Buchner Patrick van der Smagt MedIm 29 0 0 20 Sep 2022
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks Alicia Y. Tsai Juliette Decugis L. Ghaoui Alper Atamtürk 92 3 0 19 Sep 2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 144 1 0 19 Sep 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 77 3 0 19 Sep 2022
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis Lukas Struppek Dominik Hintersdorf Felix Friedrich Manuel Brack P. Schramowski Kristian Kersting 130 33 0 19 Sep 2022
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction Yulong Cao Chaowei Xiao Anima Anandkumar Danfei Xu Marco Pavone AAML 68 65 0 19 Sep 2022
On the Adversarial Transferability of ConvMixer Models Ryota Iijima Miki Tanaka Isao Echizen Hitoshi Kiya AAML 60 2 0 19 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 133 58 0 18 Sep 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks Mohit Prabhushankar Ghassan AlRegib 123 20 0 17 Sep 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models R. Olivier H. Abdullah Bhiksha Raj AAML 73 1 0 17 Sep 2022
Geometric ergodicity of Gibbs samplers for Bayesian error-in-variable regression Austin R. Brown 45 0 0 17 Sep 2022
A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images Durga Shree Nagabushanam Steve Mathew C. L. Chowdhary AAML 117 1 0 17 Sep 2022
Robust Ensemble Morph Detection with Domain Generalization Hossein Kashiani S. Sami Sobhan Soleymani Nasser M. Nasrabadi OOD AAML 83 8 0 16 Sep 2022
A Systematic Evaluation of Node Embedding Robustness Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 58 0 0 16 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 169 47 0 16 Sep 2022
Towards Bridging the Performance Gaps of Joint Energy-based Models Xiulong Yang Qing Su Shihao Ji VLM 71 15 0 16 Sep 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition Qidong Huang Xiaoyi Dong DongDong Chen Hang Zhou Weiming Zhang Kui Zhang Gang Hua Nenghai Yu 3DPC 100 13 0 16 Sep 2022
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 111 33 0 16 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness Mazda Moayeri Kiarash Banihashem Soheil Feizi OOD 129 23 0 15 Sep 2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization Omar Montasser Steve Hanneke Nathan Srebro 78 18 0 15 Sep 2022
Does CLIP Know My Face? Dominik Hintersdorf Lukas Struppek Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting VLM 60 11 0 15 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 54 11 0 15 Sep 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Volkan Cevher 104 21 0 15 Sep 2022
Sound and Complete Verification of Polynomial Networks Elias Abad Rocamora Mehmet Fatih Şahin Fanghui Liu Grigorios G. Chrysos Volkan Cevher 54 5 0 15 Sep 2022
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors Jiageng Zhu Hanchen Xie Wael AbdAlmageed 54 1 0 15 Sep 2022
Federated Learning based on Defending Against Data Poisoning Attacks in IoT Jiayin Li Wenzhong Guo Xingshuo Han Jianping Cai Ximeng Liu AAML 127 1 0 14 Sep 2022
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack Yanyun Wang Dehui Du Haibo Hu Zi Liang Yuanhao Liu AAML AI4TS 104 3 0 14 Sep 2022
Adversarial Coreset Selection for Efficient Robust Training H. M. Dolatabadi S. Erfani C. Leckie AAML 75 9 0 13 Sep 2022
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game Ke Ma Qianqian Xu Jinshan Zeng Guorong Li Xiaochun Cao Qingming Huang AAML 62 20 0 13 Sep 2022
Sample Complexity of an Adversarial Attack on UCB-based Best-arm Identification Policy Varsha Pendyala AAML 43 0 0 13 Sep 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 100 4 0 13 Sep 2022
Learning domain-specific causal discovery from time series Xinyue Wang Konrad Paul Kording BDL CML AI4TS 52 1 0 12 Sep 2022
Boosting Robustness Verification of Semantic Feature Neighborhoods Anan Kabaha Dana Drachsler-Cohen AAML 88 6 0 12 Sep 2022