Adversarial Examples in Modern Machine Learning: A Review

13 November 2019

Papers citing "Adversarial Examples in Modern Machine Learning: A Review"

20 / 20 papers shown

Title
A Survey of Language-Based Communication in Robotics William Hunt Sarvapali D. Ramchurn Mohammad D. Soorati LM&Ro 65 12 0 06 Jun 2024
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 38 7 0 01 Jul 2023
Human-Imperceptible Identification with Learnable Lensless Imaging Thuong Nguyen Canh Trung Thanh Ngo Hajime Nagahara 35 4 0 04 Feb 2023
A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images Durga Shree Nagabushanam Steve Mathew C. L. Chowdhary AAML 12 1 0 17 Sep 2022
An Exploration of How Training Set Composition Bias in Machine Learning Affects Identifying Rare Objects S. Lake Chao-Wei Tsai 24 3 0 07 Jul 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 57 0 15 Jun 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 54 72 0 26 Mar 2022
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 62 84 0 06 Dec 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 17 1 0 07 Oct 2021
Localized Uncertainty Attacks Ousmane Amadou Dia Theofanis Karaletsos C. Hazirbas Cristian Canton Ferrer I. Kabul E. Meijer AAML 24 2 0 17 Jun 2021
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 49 8 0 03 Nov 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning Jirong Yi R. Mudumbai Weiyu Xu AAML 32 2 0 28 Jul 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu Gagandeep Singh Pavol Bielik Martin Vechev AI4TS AAML 39 20 0 08 Mar 2020
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 165 424 0 16 Apr 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,113 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 183 932 0 21 Oct 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 317 5,847 0 08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014