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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
Robust Few-Shot Vision-Language Model Adaptation Hanxin Wang Tian Liu Shu Kong VLM 123 0 0 05 Jun 2025
Smooth Model Compression without Fine-Tuning Christina Runkel Natacha Kuete Meli Jovita Lukasik A. Biguri Carola-Bibiane Schönlieb Michael Moeller 48 0 0 30 May 2025
Zero-Trust Mobility-Aware Authentication Framework for Secure Vehicular Fog Computing Networks Taimoor Ahmad 28 0 0 21 May 2025
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks Giyeong Oh Woohyun Cho Siyeol Kim Suhwan Choi Younjae Yu 64 0 0 17 May 2025
ISAC: An Invertible and Stable Auditory Filter Bank with Customizable Kernels for ML Integration Daniel Haider Felix Perfler Péter Balázs Clara Hollomey Nicki Holighaus 122 0 0 12 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 101 0 0 10 May 2025
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr Volkan Cevher AAML 170 2 0 17 Apr 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 166 0 0 07 Apr 2025
Bridging the Theoretical Gap in Randomized Smoothing Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 157 0 0 03 Apr 2025
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models Sajjad Hashemian Mohammad Saeed Arvenaghi 92 0 0 11 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges Nandish Chattopadhyay Abdul Basit B. Ouni Muhammad Shafique AAML 89 0 0 01 Mar 2025
Learning Image Fractals Using Chaotic Differentiable Point Splatting Adarsh Djeacoumar Felix Mujkanovic Hans-Peter Seidel Thomas Leimkuhler 88 1 0 24 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 184 0 0 20 Feb 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 166 2 0 17 Feb 2025
Flowing Through Layers: A Continuous Dynamical Systems Perspective on Transformers Jacob Fein-Ashley AI4CE 115 1 0 08 Feb 2025
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs Armand Foucault Franck Mamalet François Malgouyres MQ 298 0 0 28 Jan 2025
Stability Bounds for the Unfolded Forward-Backward Algorithm Émilie Chouzenoux Cecile Della Valle J. Pesquet 93 0 0 23 Dec 2024
Parseval Regularization for Continual Reinforcement Learning Wesley Chung Lynn Cherif David Meger Doina Precup CLL 123 5 0 10 Dec 2024
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization Nay Myat Min Long H. Pham Yige Li Jun Sun AAML 156 5 0 18 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 61 1 0 03 Nov 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 66 1 0 16 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 61 0 0 10 Oct 2024
Robustness Reprogramming for Representation Learning Zhichao Hou MohamadAli Torkamani Hamid Krim Xiaorui Liu AAML OOD 81 1 0 06 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 112 1 0 02 Oct 2024
(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number Rossen Nenov Daniel Haider Péter Balázs 42 2 0 30 Sep 2024
A Survey on Offensive AI Within Cybersecurity Sahil Girhepuje Aviral Verma Gaurav Raina AAML 50 3 0 26 Sep 2024
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers Ekaterina Grishina Mikhail Gorbunov Maxim Rakhuba AAML 72 3 0 18 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 113 6 0 25 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 92 2 0 20 Aug 2024
Parseval Convolution Operators and Neural Networks Michael Unser Stanislas Ducotterd 56 3 0 19 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs Soutrik Roy Chowdhury 98 0 0 08 Aug 2024
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack Kuo Gai Sicong Wang Shihua Zhang AAML 83 0 0 01 Aug 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 80 0 0 26 Jun 2024
1-Lipschitz Neural Distance Fields Guillaume Coiffier Louis Bethune 114 4 0 14 Jun 2024
Quantitative Convergences of Lie Group Momentum Optimizers Lingkai Kong Molei Tao 58 2 0 30 May 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 111 0 0 24 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 55 2 0 09 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment Lei Wang Desen Yuan AAML OOD 60 1 0 30 Apr 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Yassine Abbahaddou Sofiane Ennadir J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML OOD 93 7 0 27 Apr 2024
Robust NAS under adversarial training: benchmark, theory, and beyond Yongtao Wu Fanghui Liu Carl-Johann Simon-Gabriel Grigorios G. Chrysos Volkan Cevher AAML OOD 92 5 0 19 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 170 8 0 15 Mar 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers A. Boroojeny Matus Telgarsky Hari Sundaram MLT 96 5 0 25 Feb 2024
Maintaining Adversarial Robustness in Continuous Learning Xiaolei Ru Xiaowei Cao Zijia Liu Jack Murdoch Moore Xin-Ya Zhang Xia Zhu Wenjia Wei Gang Yan AAML 71 4 0 17 Feb 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 117 0 0 12 Feb 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA Yu-Guan Hsieh James Thornton Eugène Ndiaye Michal Klein Marco Cuturi Pierre Ablin MedIm 96 0 0 05 Feb 2024
MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem Mohammed Sbihi Sophie Jan Nicolas P. Couellan 24 0 0 02 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings Blaise Delattre Quentin Barthélemy Alexandre Allauzen 65 2 0 31 Jan 2024
Liquid Resistance Liquid Capacitance Networks Mónika Farsang Sophie A. Neubauer Radu Grosu AI4TS 43 3 0 30 Jan 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization Xixu Hu Runkai Zheng Jindong Wang Cheuk Hang Leung Qi Wu Xing Xie 50 1 0 02 Jan 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 109 11 0 22 Dec 2023