Universalization of any adversarial attack using very few test examples
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam, Vineeth N Balasubramanian | Published: 2020-05-18 | Updated: 2022-10-28
性能評価指標
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
Authors: Mahdieh Abbasi, Arezoo Rajabi, Christian Gagne, Rakesh B. Bobba | Published: 2020-05-17
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Authors: Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique | Published: 2020-05-16
Buffered Asynchronous SGD for Byzantine Learning
Authors: Yi-Rui Yang, Wu-Jun Li | Published: 2020-03-02 | Updated: 2022-01-31
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud
Authors: Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Quanshi Zhang, Wei Wang, Bo Li | Published: 2019-12-18 | Updated: 2021-06-15
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
Authors: Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer | Published: 2019-12-16 | Updated: 2020-04-30
Private Federated Learning with Domain Adaptation
Authors: Daniel Peterson, Pallika Kanani, Virendra J. Marathe | Published: 2019-12-13
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques
Authors: Ibrahim Yilmaz, Rahat Masum | Published: 2019-12-10
Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning
Authors: Maede Zolanvari, Marcio A. Teixeira, Raj Jain | Published: 2019-12-02
Neurlux: Dynamic Malware Analysis Without Feature Engineering
Authors: Chani Jindal, Christopher Salls, Hojjat Aghakhani, Keith Long, Christopher Kruegel, Giovanni Vigna | Published: 2019-10-24