Variance Networks: When Expectation Does Not Meet Your Expectations Authors: Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov | Published: 2018-03-10 | Updated: 2019-02-18 Bayesian SecurityAdversarial LearningMachine Learning Application 2018.03.10 2025.05.28 Literature Database
Stochastic Activation Pruning for Robust Adversarial Defense Authors: Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Anima Anandkumar | Published: 2018-03-05 Adversarial Example DetectionAdversarial LearningMachine Learning Technology 2018.03.05 2025.05.28 Literature Database
Understanding and Enhancing the Transferability of Adversarial Examples Authors: Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E | Published: 2018-02-27 Model evaluation methodsAdversarial LearningAdversarial Attack Analysis 2018.02.27 2025.05.28 Literature Database
Adversarial Training for Probabilistic Spiking Neural Networks Authors: Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran | Published: 2018-02-22 | Updated: 2018-02-26 Spiking Neural NetworkAdversarial LearningAdversarial Training 2018.02.22 2025.05.28 Literature Database
Are Generative Classifiers More Robust to Adversarial Attacks? Authors: Yingzhen Li, John Bradshaw, Yash Sharma | Published: 2018-02-19 | Updated: 2019-05-27 Robustness EvaluationAdversarial LearningAdversarial attack 2018.02.19 2025.05.28 Literature Database
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks Authors: Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord, Pushmeet Kohli | Published: 2018-02-15 | Updated: 2018-06-12 Adversarial LearningAdversarial LearningAdversarial attack 2018.02.15 2025.05.28 Literature Database
Distributed One-class Learning Authors: Ali Shahin Shamsabadi, Hamed Haddadi, Andrea Cavallaro | Published: 2018-02-10 Privacy Protection MechanismAdversarial LearningMachine Learning Method 2018.02.10 2025.05.28 Literature Database
Certified Robustness to Adversarial Examples with Differential Privacy Authors: Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Suman Jana | Published: 2018-02-09 | Updated: 2019-05-29 Robustness EvaluationAdversarial ExampleAdversarial Learning 2018.02.09 2025.05.28 Literature Database
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples Authors: Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan | Published: 2018-02-05 | Updated: 2018-02-07 Data PreprocessingCertified RobustnessAdversarial Learning 2018.02.05 2025.05.28 Literature Database
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers Authors: Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-01-15 | Updated: 2018-06-19 Sparsity DefenseAdversarial LearningAdversarial attack 2018.01.15 2025.05.28 Literature Database