Improving Differential-Neural Distinguisher Model For DES, Chaskey, and PRESENT
Authors: Liu Zhang, Zilong Wang | Published: 2022-04-13
evaluation metrics
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Authors: Esha Sarkar, Eduardo Chielle, Gamze Gursoy, Leo Chen, Mark Gerstein, Michail Maniatakos | Published: 2022-04-12
BABD: A Bitcoin Address Behavior Dataset for Pattern Analysis
Authors: Yuexin Xiang, Yuchen Lei, Ding Bao, Wei Ren, Tiantian Li, Qingqing Yang, Wenmao Liu, Tianqing Zhu, Kim-Kwang Raymond Choo | Published: 2022-04-10 | Updated: 2022-05-05
Cryptocurrency Valuation: An Explainable AI Approach
Authors: Yulin Liu, Luyao Zhang | Published: 2022-01-30 | Updated: 2023-07-08
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Authors: Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-man Cheung, Yuval Elovici, Alexander Binder | Published: 2021-10-24
Wavelet Selection and Employment for Side-Channel Disassembly
Authors: Random Gwinn, Mark A. Matties, Aviel D. Rubin | Published: 2021-07-25
On the impossibility of non-trivial accuracy under fairness constraints
Authors: Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia | Published: 2021-07-14 | Updated: 2021-11-23
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
Authors: Oliver Lutz, Huili Chen, Hossein Fereidooni, Christoph Sendner, Alexandra Dmitrienko, Ahmad Reza Sadeghi, Farinaz Koushanfar | Published: 2021-03-23
Utilising Flow Aggregation to Classify Benign Imitating Attacks
Authors: Hanan Hindy, Robert Atkinson, Christos Tachtatzis, Ethan Bayne, Miroslav Bures, Xavier Bellekens | Published: 2021-03-06
Differentially Private ADMM Algorithms for Machine Learning
Authors: Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong | Published: 2020-10-31