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Parseval Networks: Improving Robustness to Adversarial Examples

28 April 2017

Papers citing "Parseval Networks: Improving Robustness to Adversarial Examples"

50 / 489 papers shown

Title
Adversarial Medical Image with Hierarchical Feature Hiding Qingsong Yao Zecheng He Yuexiang Li Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou MedIm AAML 157 4 0 04 Dec 2023
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness Bernd Prach Fabio Brau Giorgio Buttazzo Christoph H. Lampert 84 8 0 28 Nov 2023
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks Zhen Qin Xuwei Tan Zhihui Zhu 109 1 0 24 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci Robert Legenstein AAML 86 10 0 15 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 121 0 0 14 Nov 2023
1-Lipschitz Neural Networks are more expressive with N-Activations Bernd Prach Christoph H. Lampert AAML FAtt 58 0 0 10 Nov 2023
Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service Yuanmin Tang Jing Yu Keke Gai Xiangyang Qu Yue Hu Gang Xiong Qi Wu AAML WaLM VLM 62 8 0 10 Nov 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier Jerry Zhi-Yang He Zackory M. Erickson Daniel S. Brown Anca Dragan AAML 83 0 0 16 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 109 14 0 04 Oct 2023
On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning Saaketh Medepalli Naren Doraiswamy 80 1 0 30 Sep 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 119 11 0 29 Sep 2023
On Continuity of Robust and Accurate Classifiers Ramin Barati Reza Safabakhsh Mohammad Rahmati AAML 119 1 0 29 Sep 2023
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing Blaise Delattre Alexandre Araujo Quentin Barthélemy A. Allauzen AAML 76 6 0 28 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 48 4 0 12 Sep 2023
Instabilities in Convnets for Raw Audio Daniel Haider Vincent Lostanlen Martin Ehler Péter Balázs 47 2 0 11 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
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning Amirhossein Vahidi Lisa Wimmer H. Gündüz Bernd Bischl Eyke Hüllermeier Mina Rezaei OOD UQCV 86 4 0 28 Aug 2023
Verifying Global Neural Network Specifications using Hyperproperties David Boetius Stefan Leue AAML 61 0 0 21 Jun 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation Misha Glazunov Apostolis Zarras AAML DRL 55 1 0 16 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 49 1 0 07 Jun 2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Drew Linsley Pinyuan Feng Thibaut Boissin A. Ashok Thomas Fel Stephanie Olaiya Thomas Serre AAML 78 6 0 05 Jun 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 69 10 0 02 Jun 2023
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks Jiyi Zhang Hansheng Fang E. Chang AAML 43 0 0 02 Jun 2023
Neural (Tangent Kernel) Collapse Mariia Seleznova Dana Weitzner Raja Giryes Gitta Kutyniok H. Chou 76 10 0 25 May 2023
DP-SGD Without Clipping: The Lipschitz Neural Network Way Louis Bethune Thomas Massena Thibaut Boissin Yannick Prudent Corentin Friedrich Franck Mamalet A. Bellet M. Serrurier David Vigouroux 98 9 0 25 May 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration Blaise Delattre Quentin Barthélemy Alexandre Araujo A. Allauzen 60 13 0 25 May 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 104 5 0 25 May 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov Francisco Eiras Amartya Sanyal Philip Torr Adel Bibi UQCV 65 1 0 25 Apr 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 39 0 0 29 Mar 2023
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints Pierre Ablin Simon Vary Bin Gao P.-A. Absil 59 10 0 29 Mar 2023
On the Robustness of Text Vectorizers R. Catellier Samuel Vaiter Damien Garreau OOD 49 2 0 09 Mar 2023
Improving GAN Training via Feature Space Shrinkage Haozhe Liu Wentian Zhang Bing Li Haoqian Wu Nanjun He Yawen Huang Yuexiang Li Guohao Li Yefeng Zheng GAN 50 6 0 02 Mar 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 155 8 0 21 Feb 2023
Stationary Point Losses for Robust Model Weiwei Gao Dazhi Zhang Yao Li Zhichang Guo Ovanes Petrosian OOD 102 0 0 19 Feb 2023
CQnet: convex-geometric interpretation and constraining neural-network trajectories Bas Peters 68 0 0 09 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations Hassan Dbouk Naresh R Shanbhag AAML 77 8 0 02 Feb 2023
CertViT: Certified Robustness of Pre-Trained Vision Transformers K. Gupta S. Verma ViT 60 5 0 01 Feb 2023
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks David Boetius Stefan Leue Tobias Sutter 67 4 0 26 Jan 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation Utkarsh Nath Yancheng Wang Yingzhen Yang AAML 64 2 0 19 Jan 2023
Differentiable Search of Accurate and Robust Architectures Yuwei Ou Xiangning Xie Shan Gao Yanan Sun Kay Chen Tan Jiancheng Lv OOD AAML 69 2 0 28 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 108 34 0 18 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 95 8 0 12 Dec 2022
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation Amro Eldebiky Grace Li Zhang G. Böcherer Bing Li Ulf Schlichtmann 77 17 0 27 Nov 2022
Towards Practical Control of Singular Values of Convolutional Layers Alexandra Senderovich Ekaterina Bulatova Anton Obukhov M. Rakhuba AAML 79 9 0 24 Nov 2022
PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices R. Rosu Sven Behnke 74 71 0 22 Nov 2022
Improved techniques for deterministic l2 robustness Sahil Singla Soheil Feizi AAML 97 10 0 15 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 108 6 0 02 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 84 13 0 28 Oct 2022
$LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness$ LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness Xiaojun Xu Linyi Li Yue Liu OOD AAML 91 34 0 20 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 72 48 0 12 Oct 2022