Parseval Networks: Improving Robustness to Adversarial Examples

28 April 2017

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

50 / 487 papers shown

Title
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 24 0 0 14 Nov 2023
1-Lipschitz Neural Networks are more expressive with N-Activations Bernd Prach Christoph H. Lampert AAML FAtt 24 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 24 7 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 21 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 26 8 0 04 Oct 2023
On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning Saaketh Medepalli Naren Doraiswamy 21 1 0 30 Sep 2023
On Continuity of Robust and Accurate Classifiers R. Barati Reza Safabakhsh Mohammad Rahmati AAML 8 1 0 29 Sep 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 16 11 0 29 Sep 2023
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing Blaise Delattre Alexandre Araujo Quentin Barthélemy A. Allauzen AAML 36 5 0 28 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 9 4 0 12 Sep 2023
Instabilities in Convnets for Raw Audio Daniel Haider Vincent Lostanlen Martin Ehler Péter Balázs 21 2 0 11 Sep 2023
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models Changyu Liu Yuling Jiao Junhui Wang Jian Huang AAML 17 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 25 4 0 28 Aug 2023
Verifying Global Neural Network Specifications using Hyperproperties David Boetius Stefan Leue AAML 18 0 0 21 Jun 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation Misha Glazunov Apostolis Zarras AAML DRL 13 1 0 16 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 14 0 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 20 6 0 05 Jun 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 24 9 0 02 Jun 2023
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks Jiyi Zhang Hansheng Fang E. Chang AAML 17 0 0 02 Jun 2023
Neural (Tangent Kernel) Collapse Mariia Seleznova Dana Weitzner Raja Giryes Gitta Kutyniok H. Chou 21 6 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 32 9 0 25 May 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration Blaise Delattre Quentin Barthélemy Alexandre Araujo A. Allauzen 12 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 24 4 0 25 May 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov Francisco Eiras Amartya Sanyal Philip H. S. Torr Adel Bibi UQCV 32 1 0 25 Apr 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 13 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 49 7 0 29 Mar 2023
On the Robustness of Text Vectorizers R. Catellier Samuel Vaiter Damien Garreau OOD 16 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 Bernard Ghanem Yefeng Zheng GAN 13 6 0 02 Mar 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 24 7 0 21 Feb 2023
Stationary Point Losses for Robust Model Weiwei Gao Dazhi Zhang Yao Li Zhichang Guo Ovanes Petrosian OOD 15 0 0 19 Feb 2023
CQnet: convex-geometric interpretation and constraining neural-network trajectories B. Peters 24 0 0 09 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations Hassan Dbouk Naresh R Shanbhag AAML 23 7 0 02 Feb 2023
CertViT: Certified Robustness of Pre-Trained Vision Transformers K. Gupta S. Verma ViT 25 4 0 01 Feb 2023
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks David Boetius Stefan Leue Tobias Sutter 20 4 0 26 Jan 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation Utkarsh Nath Yancheng Wang Yingzhen Yang AAML 19 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 28 1 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 35 31 0 18 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 29 7 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 43 15 0 27 Nov 2022
Towards Practical Control of Singular Values of Convolutional Layers Alexandra Senderovich Ekaterina Bulatova Anton Obukhov M. Rakhuba AAML 11 9 0 24 Nov 2022
PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices R. Rosu Sven Behnke 27 69 0 22 Nov 2022
Improved techniques for deterministic l2 robustness Sahil Singla S. Feizi AAML 23 9 0 15 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 20 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 35 12 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 Bo-wen Li OOD AAML 20 33 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 18 44 0 12 Oct 2022
Stable and Efficient Adversarial Training through Local Linearization Zhuorong Li Daiwei Yu AAML 20 0 0 11 Oct 2022
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces Amirali Aghazadeh Nived Rajaraman Tony Tu Kannan Ramchandran 17 2 0 05 Oct 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective Bohang Zhang Du Jiang Di He Liwei Wang OOD 36 47 0 04 Oct 2022
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples Jinyuan Jia Wenjie Qu Neil Zhenqiang Gong OOD 27 13 0 03 Oct 2022