Relationship between manifold smoothness and adversarial vulnerability in deep learning with local errors
Authors: Zijian Jiang, Jianwen Zhou, Haiping Huang | Published: 2020-07-04 | Updated: 2020-12-23
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PPaaS: Privacy Preservation as a Service
Authors: Pathum Chamikara Mahawaga Arachchige, Peter Bertok, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe | Published: 2020-07-04 | Updated: 2021-04-21
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
Authors: Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis | Published: 2020-07-03 | Updated: 2020-11-17
Trace-Norm Adversarial Examples
Authors: Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang | Published: 2020-07-02
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment
Authors: Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Ines Goicoechea-Telleria, Raul Orduna-Urrutia | Published: 2020-07-02
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
Authors: Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera | Published: 2020-07-02 | Updated: 2020-10-06
Robust and Accurate Authorship Attribution via Program Normalization
Authors: Yizhen Wang, Mohannad Alhanahnah, Ke Wang, Mihai Christodorescu, Somesh Jha | Published: 2020-07-01 | Updated: 2022-02-25
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Authors: Samuel Henrique Silva, Peyman Najafirad | Published: 2020-07-01 | Updated: 2020-07-03
Multi-Task Variational Information Bottleneck
Authors: Weizhu Qian, Bowei Chen, Yichao Zhang, Guanghui Wen, Franck Gechter | Published: 2020-07-01 | Updated: 2021-03-01
A Le Cam Type Bound for Adversarial Learning and Applications
Authors: Qiuling Xu, Kevin Bello, Jean Honorio | Published: 2020-07-01 | Updated: 2021-02-10