Robustness May Be at Odds with Accuracy

30 May 2018

Papers citing "Robustness May Be at Odds with Accuracy"

50 / 423 papers shown

Title
Adversarial Robustness for Unified Multi-Modal Encoders via Efficient Calibration Chih-Ting Liao Bin Ren Guofeng Mei Xu Zheng AAML 12 0 0 17 May 2025
Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation Puru Vaish Felix Meister Tobias Heimann Christoph Brune J. Wolterink OOD 24 0 0 15 May 2025
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo Jenny Schmalfuss Victor Oei Lukas Mehl Madlen Bartsch Shashank Agnihotri M. Keuper Andrés Bruhn 31 0 0 14 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 55 0 0 08 May 2025
Risk Analysis and Design Against Adversarial Actions M. Campi A. Carè Luis G. Crespo S. Garatti Federico A. Ramponi AAML 192 0 0 02 May 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 222 0 0 24 Mar 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 214 0 0 27 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 111 7 0 06 Feb 2025
On the uncertainty principle of neural networks Jun-Jie Zhang Dong-xiao Zhang Jian-Nan Chen L. Pang Deyu Meng 57 2 0 17 Jan 2025
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 63 0 0 31 Dec 2024
Adversarial Detection with a Dynamically Stable System Xiaowei Long Jie Lin Xiangyuan Yang AAML 41 0 0 11 Nov 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 44 3 0 30 Oct 2024
Robust Feature Learning for Multi-Index Models in High Dimensions Alireza Mousavi-Hosseini Adel Javanmard Murat A. Erdogdu OOD AAML 48 1 0 21 Oct 2024
Efficient Optimization Algorithms for Linear Adversarial Training Antônio H. Ribeiro Thomas B. Schon Dave Zahariah Francis Bach AAML 55 1 0 16 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 41 2 0 11 Oct 2024
Enhancing adversarial robustness in Natural Language Inference using explanations Alexandros Koulakos Maria Lymperaiou Giorgos Filandrianos Giorgos Stamou SILM AAML 43 0 0 11 Sep 2024
Deepfake Media Forensics: State of the Art and Challenges Ahead Irene Amerini Mauro Barni Sebastiano Battiato Paolo Bestagini Giulia Boato ... Davide Salvi Stefano Tubaro Claudia Melis Tonti Massimo Villari D. Vitulano AAML 51 5 0 01 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 47 1 0 26 Jul 2024
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness Maayan Ehrenberg Roy Ganz Nir Rosenfeld AAML 56 0 0 17 Jun 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training Enes Altinisik Safa Messaoud Husrev Taha Sencar Hassan Sajjad Sanjay Chawla AAML 48 0 0 27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 51 2 0 27 May 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate A. Fuller Daniel G. Kyrollos Yousef Yassin James R. Green 54 2 0 22 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 29 4 0 16 May 2024
$H$ -Consistency Guarantees for Regression Anqi Mao M. Mohri Yutao Zhong 33 9 0 28 Mar 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 72 12 0 26 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 42 5 0 20 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 35 3 0 18 Mar 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 36 0 0 22 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 46 1 0 16 Feb 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 37 0 0 12 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 62 0 0 08 Feb 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training Shruthi Gowda Bahram Zonooz Elahe Arani AAML 31 2 0 26 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 33 4 0 18 Jan 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off Yuansan Liu Ruqing Zhang Mingkun Zhang Wei Chen Maarten de Rijke J. Guo Xueqi Cheng AAML 32 6 0 16 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis Shashank Kotyan Tatsuya Ueda Danilo Vasconcellos Vargas 32 1 0 07 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 53 2 0 06 Dec 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri Julia Grabinski M. Keuper 30 6 0 29 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 35 2 0 26 Nov 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 33 11 0 30 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David Wagner AAML 39 6 0 26 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 32 22 0 23 Oct 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 51 0 0 21 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 26 8 0 28 Sep 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection Weijie Wang Zhengyu Zhao N. Sebe Bruno Lepri AAML 41 2 0 03 Sep 2023
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 23 3 0 29 Aug 2023
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms Elvis Dohmatob M. Scetbon AAML OOD 28 0 0 01 Aug 2023
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks Ashish Hooda Neal Mangaokar Ryan Feng Kassem Fawaz S. Jha Atul Prakash AAML 24 3 0 30 Jul 2023
Adversarial training for tabular data with attack propagation Tiago Leon Melo Joao Bravo Marco O. P. Sampaio Paolo Romano Hugo Ferreira João Tiago Ascensão P. Bizarro AAML 27 1 0 28 Jul 2023