Robustness and Cybersecurity in the EU Artificial Intelligence Act

22 February 2025

Papers citing "Robustness and Cybersecurity in the EU Artificial Intelligence Act"

41 / 41 papers shown

Title
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations for high-risk systems in the EU AI Act Kristof Meding FaML 89 1 0 22 Jan 2025
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library Lei Cheng Xiaowen Huang Jitao Sang Jian Yu AAML 30 1 0 27 Apr 2024
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness Luca Deck Jan-Laurin Müller Conradin Braun Domenique Zipperling Niklas Kühl FaML 54 5 0 29 Mar 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space Leo Schwinn David Dobre Sophie Xhonneux Gauthier Gidel Stephan Gunnemann AAML 55 39 0 14 Feb 2024
Red-Teaming for Generative AI: Silver Bullet or Security Theater? Michael Feffer Anusha Sinha Wesley Hanwen Deng Zachary Chase Lipton Hoda Heidari AAML 53 70 0 29 Jan 2024
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms Kristof Meding Thilo Hagendorff 43 7 0 12 Nov 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 40 182 0 06 Sep 2023
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions Jan Simson Florian Pfisterer Christoph Kern 41 12 0 31 Aug 2023
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection Jun Yan Vikas Yadav Shiyang Li Lichang Chen Zheng Tang Hai Wang Vijay Srinivasan Xiang Ren Hongxia Jin SILM 52 90 0 31 Jul 2023
Jailbroken: How Does LLM Safety Training Fail? Alexander Wei Nika Haghtalab Jacob Steinhardt 144 907 0 05 Jul 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 73 78 0 07 Jun 2023
Red Teaming Language Model Detectors with Language Models Zhouxing Shi Yihan Wang Fan Yin Xiangning Chen Kai-Wei Chang Cho-Jui Hsieh DeLMO 27 51 0 31 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision Gorana Gojić V. Vincan O. Kundacina D. Mišković Dinu Dragan OOD 30 4 0 24 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 55 23 0 10 May 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data? Aaditya Naik Yinjun Wu Mayur Naik Eric Wong 29 4 0 02 Mar 2023
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients Zaixi Zhang Xiaoyu Cao Jin Jia Neil Zhenqiang Gong AAML FedML 34 217 0 19 Jul 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification Leo Schwinn Leon Bungert A. Nguyen René Raab Falk Pulsmeyer Doina Precup Björn Eskofier Dario Zanca OOD 56 14 0 19 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 247 6,768 0 13 Apr 2022
The King is Naked: on the Notion of Robustness for Natural Language Processing Emanuele La Malfa Marta Z. Kwiatkowska 36 28 0 13 Dec 2021
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap? Nathan G. Drenkow Numair Sani I. Shpitser Mathias Unberath 23 77 0 01 Dec 2021
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act Francesco Sovrano Salvatore Sapienza M. Palmirani F. Vitali 23 18 0 21 Oct 2021
Robustness and Reliability When Training With Noisy Labels Amanda Olmin Fredrik Lindsten OOD NoLa 29 14 0 07 Oct 2021
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification Yada Pruksachatkun Satyapriya Krishna Jwala Dhamala Rahul Gupta Kai-Wei Chang 24 32 0 21 Jun 2021
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms Alexander Wei Fred Zhang 42 94 0 22 Oct 2020
How Do Fair Decisions Fare in Long-term Qualification? Xueru Zhang Ruibo Tu Yang Liu M. Liu Hedvig Kjellström Kun Zhang Cheng Zhang 58 74 0 21 Oct 2020
To be Robust or to be Fair: Towards Fairness in Adversarial Training Han Xu Xiaorui Liu Yaxin Li Anil K. Jain Jiliang Tang 17 179 0 13 Oct 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 64 541 0 01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 194 1,715 0 29 Jun 2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks Avi Schwarzschild Micah Goldblum Arjun Gupta John P. Dickerson Tom Goldstein AAML TDI 36 163 0 22 Jun 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 69 226 0 25 Feb 2020
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects Ben Glocker Robert Robinson Daniel Coelho De Castro Qi Dou E. Konukoglu 11 91 0 10 Oct 2019
Equal Opportunity in Online Classification with Partial Feedback Yahav Bechavod Katrina Ligett Aaron Roth Bo Waggoner Zhiwei Steven Wu FaML 21 60 0 06 Feb 2019
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 49 457 0 03 Jul 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 50 1,772 0 30 May 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 52 475 0 12 Mar 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 45 638 0 08 Feb 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 62 1,822 0 15 Dec 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 70 2,140 0 21 Aug 2017
Fairer and more accurate, but for whom? Alexandra Chouldechova M. G'Sell 20 63 0 30 Jun 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 106 18,922 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 54 14,831 1 21 Dec 2013