The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Authors: Nicholas Konz, Maciej A. Mazurowski | Published: 2024-01-16 | Updated: 2024-02-21
一般化の影響
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
On the Role of Generalization in Transferability of Adversarial Examples
Authors: Yilin Wang, Farzan Farnia | Published: 2022-06-18
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning
Authors: Alberto Blanco-Justicia, David Sanchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar | Published: 2022-06-09 | Updated: 2022-07-05
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Authors: Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song | Published: 2022-06-09 | Updated: 2022-06-29
Toward More Generalized Malicious URL Detection Models
Authors: YunDa Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin | Published: 2022-02-21 | Updated: 2024-02-09
Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model
Authors: Alon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai | Published: 2021-11-21 | Updated: 2022-09-07
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling
Authors: Avishek Joey Bose, Andre Cianflone, William L. Hamilton | Published: 2019-05-26 | Updated: 2020-01-20
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Authors: Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu | Published: 2019-05-25 | Updated: 2020-02-20
The advantages of multiple classes for reducing overfitting from test set reuse
Authors: Vitaly Feldman, Roy Frostig, Moritz Hardt | Published: 2019-05-24