DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
Authors: Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen | Published: 2023-05-10 | Updated: 2023-10-14
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Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
Authors: Farhin Farhad Riya, Shahinul Hoque, Md Saif Hassan Onim, Edward Michaud, Edmon Begoli, Jinyuan Stella Sun | Published: 2023-05-09 | Updated: 2024-01-29
Quantum Machine Learning for Malware Classification
Authors: Grégoire Barrué, Tony Quertier | Published: 2023-05-09 | Updated: 2023-06-07
Differentially Private Attention Computation
Authors: Yeqi Gao, Zhao Song, Xin Yang, Yufa Zhou | Published: 2023-05-08 | Updated: 2024-10-14
Verifiable Learning for Robust Tree Ensembles
Authors: Stefano Calzavara, Lorenzo Cazzaro, Giulio Ermanno Pibiri, Nicola Prezza | Published: 2023-05-05 | Updated: 2023-11-11
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
Authors: Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis | Published: 2023-05-04 | Updated: 2024-04-16
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?
Authors: Ran Liu, Maksim Eren, Charles Nicholas | Published: 2023-05-03 | Updated: 2023-08-09
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Authors: Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello | Published: 2023-05-01 | Updated: 2024-08-14
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Authors: Giovanni Apruzzese, Pavel Laskov, Johannes Schneider | Published: 2023-04-30
Can deepfakes be created by novice users?
Authors: Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt | Published: 2023-04-28