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Enhancing Robustness of Machine Learning Systems via Data Transformations

9 April 2017

Papers citing "Enhancing Robustness of Machine Learning Systems via Data Transformations"

50 / 105 papers shown

Title
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach Firas Bayram Bestoun S. Ahmed OOD 60 2 0 28 Oct 2024
A Brain-Inspired Regularizer for Adversarial Robustness Elie Attias Cengiz Pehlevan D. Obeid AAML OOD 71 0 0 04 Oct 2024
MASKDROID: Robust Android Malware Detection with Masked Graph Representations Jingnan Zheng Jiaohao Liu An Zhang Jun Zeng Ziqi Yang Zhenkai Liang Tat-Seng Chua AAML 62 2 0 29 Sep 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects Sabrine Ennaji Fabio De Gaspari Dorjan Hitaj Alicia Kbidi Luigi V. Mancini AAML 97 0 0 27 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models Hossein Khalili Seongbin Park Vincent Li Brandan Bright Ali Payani Ramana Rao Kompella Nader Sehatbakhsh AAML 72 1 0 31 Aug 2024
A Model for Combinatorial Dictionary Learning and Inference Avrim Blum Kavya Ravichandran CoGe 86 0 0 26 Jul 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 80 2 0 24 May 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective Wanqi Zhou Shuanghao Bai Qibin Zhao Badong Chen VLM AAML 115 9 0 30 Apr 2024
Espresso: Robust Concept Filtering in Text-to-Image Models Anudeep Das Vasisht Duddu Rui Zhang Nadarajah Asokan EGVM 100 9 0 30 Apr 2024
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Jon Egana-Zubia Raul Orduna Urrutia AAML 61 6 0 12 Feb 2024
Topological safeguard for evasion attack interpreting the neural networks' behavior Xabier Echeberria-Barrio Amaia Gil-Lerchundi Iñigo Mendialdua Raul Orduna Urrutia AAML 57 3 0 12 Feb 2024
Whispers in the Machine: Confidentiality in LLM-integrated Systems Jonathan Evertz Merlin Chlosta Lea Schonherr Thorsten Eisenhofer 119 21 0 10 Feb 2024
Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi AAML 71 16 0 25 Sep 2023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models Neel Jain Avi Schwarzschild Yuxin Wen Gowthami Somepalli John Kirchenbauer Ping Yeh-Chiang Micah Goldblum Aniruddha Saha Jonas Geiping Tom Goldstein AAML 176 410 0 01 Sep 2023
Survey of Trustworthy AI: A Meta Decision of AI Caesar Wu Yuan-Fang Li Pascal Bouvry 116 3 0 01 Jun 2023
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 75 10 0 12 May 2023
False Claims against Model Ownership Resolution Jian Liu Rui Zhang S. Szyller Kui Ren Nirmal Asokan AAML MLAU 123 12 0 13 Apr 2023
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 84 14 0 17 Oct 2022
Boosting Robustness Verification of Semantic Feature Neighborhoods Anan Kabaha Dana Drachsler-Cohen AAML 88 6 0 12 Sep 2022
FIRED: a fine-grained robust performance diagnosis framework for cloud applications Ruyue Xin Hongyun Liu Peng Chen Paola Grosso Zhiming Zhao 50 5 0 05 Sep 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML OODD 32 1 0 15 Jun 2022
Efficient Learning of Interpretable Classification Rules Bishwamittra Ghosh Dmitry Malioutov Kuldeep S. Meel 64 8 0 14 May 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 30 4 0 18 Feb 2022
On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion Chengyuan Deng Youzuo Lin OOD 58 2 0 28 Nov 2021
Data Synthesis for Testing Black-Box Machine Learning Models Diptikalyan Saha Aniya Aggarwal Sandeep Hans 44 4 0 03 Nov 2021
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover Wei Pu Chao Zhou Yonina C. Eldar M. Rodrigues OOD 57 1 0 20 Oct 2021
Morphence: Moving Target Defense Against Adversarial Examples Abderrahmen Amich Birhanu Eshete AAML 81 24 0 31 Aug 2021
"Adversarial Examples" for Proof-of-Learning Rui Zhang Jian Liu Yuan Ding Zhibo Wu Qing Wu K. Ren AAML 73 35 0 21 Aug 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data I-Chung Hsieh Cheng-Te Li AAML 70 24 0 22 Jun 2021
Sparta: Spatially Attentive and Adversarially Robust Activation Qing Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 70 4 0 18 May 2021
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression Rehana Mahfuz R. Sahay Aly El Gamal AAML 36 3 0 03 Apr 2021
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction Haowen Liu Ping Yi Hsiao-Ying Lin Jie Shi Weidong Qiu AAML 34 2 0 11 Mar 2021
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks Rachel Sterneck Abhishek Moitra Priyadarshini Panda AAML 30 8 0 05 Jan 2021
A Singular Value Perspective on Model Robustness Malhar Jere Maghav Kumar F. Koushanfar AAML 86 6 0 07 Dec 2020
Dimensionality reduction, regularization, and generalization in overparameterized regressions Ningyuan Huang D. Hogg Soledad Villar 86 15 0 23 Nov 2020
Automatic Open-World Reliability Assessment Mohsen Jafarzadeh T. Ahmad A. Dhamija Chunchun Li Steve Cruz Terrance E. Boult 146 11 0 11 Nov 2020
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty Camilo Pestana Wei Liu D. Glance Ajmal Mian AAML 121 5 0 05 Nov 2020
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications Thippa Reddy Gadekallu Manoj M K Sivarama Krishnan S Neeraj Kumar S. Hakak S. Bhattacharya OOD 66 54 0 03 Nov 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning Hongjun Wang Guanbin Li Xiaobai Liu Liang Lin GAN AAML 95 23 0 15 Oct 2020
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things Ling Wang Cheng Zhang Zejian Luo Chenguang Liu Jie Liu Xi Zheng A. Vasilakos AAML 29 3 0 15 Oct 2020
Robust Deep Learning Ensemble against Deception Wenqi Wei Ling Liu AAML 71 29 0 14 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 136 162 0 08 Sep 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 60 9 0 16 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
Attacking and Defending Machine Learning Applications of Public Cloud Dou Goodman Xin Hao SILM AAML 66 7 0 27 Jul 2020
Decoder-free Robustness Disentanglement without (Additional) Supervision Yifei Wang Dan Peng Furui Liu Zhenguo Li Zhitang Chen Jiansheng Yang AAML 29 1 0 02 Jul 2020
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Ines Goicoechea-Telleria Raul Orduna Urrutia AAML 72 5 0 02 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 98 39 0 01 Jul 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 94 154 0 25 Jun 2020
The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems Sheila Alemany N. Pissinou AAML 30 8 0 18 Jun 2020