Quantifying identifiability to choose and audit $ε$ in differentially private deep learning
Authors: Daniel Bernau, Günther Eibl, Philip W. Grassal, Hannah Keller, Florian Kerschbaum | Published: 2021-03-04 | Updated: 2021-07-20
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Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Authors: Yansong Gao, Minki Kim, Chandra Thapa, Sharif Abuadbba, Zhi Zhang, Seyit A. Camtepe, Hyoungshick Kim, Surya Nepal | Published: 2021-03-03
A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
Authors: Josh Kalin, David Noever, Matthew Ciolino | Published: 2021-03-03 | Updated: 2021-07-07
Malware Classification with Word Embedding Features
Authors: Aparna Sunil Kale, Fabio Di Troia, Mark Stamp | Published: 2021-03-03
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
Authors: E. Kurshan, H. Shen | Published: 2021-03-02
Private Stochastic Convex Optimization: Optimal Rates in $\ell_1$ Geometry
Authors: Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar | Published: 2021-03-02
Smoothness Analysis of Adversarial Training
Authors: Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida | Published: 2021-03-02 | Updated: 2023-03-06
Adversarial Information Bottleneck
Authors: Penglong Zhai, Shihua Zhang | Published: 2021-02-28 | Updated: 2021-03-03
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Authors: Momina Masood, Marriam Nawaz, Khalid Mahmood Malik, Ali Javed, Aun Irtaza | Published: 2021-02-25 | Updated: 2021-11-23
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
Authors: Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern Eskofier | Published: 2021-02-24