Advbox: a toolbox to generate adversarial examples that fool neural networks
Authors: Dou Goodman, Hao Xin, Wang Yang, Wu Yuesheng, Xiong Junfeng, Zhang Huan | Published: 2020-01-13 | Updated: 2020-08-26
文献データベース
On the Resilience of Biometric Authentication Systems against Random Inputs
Authors: Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Mohamed Ali Kaafar | Published: 2020-01-13 | Updated: 2020-01-24
Membership Inference Attacks Against Object Detection Models
Authors: Yeachan Park, Myungjoo Kang | Published: 2020-01-12 | Updated: 2020-01-28
Fast is better than free: Revisiting adversarial training
Authors: Eric Wong, Leslie Rice, J. Zico Kolter | Published: 2020-01-12
Simulated Blockchains for Machine Learning Traceability and Transaction Values in the Monero Network
Authors: Nathan Borggren, Hyoung-yoon Kim, Lihan Yao, Gary Koplik | Published: 2020-01-12
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators
Authors: Noah Gamboa, Kais Kudrolli, Anand Dhoot, Ardavan Pedram | Published: 2020-01-09 | Updated: 2020-01-13
Real-Time Edge Intelligence in the Making: A Collaborative Learning Framework via Federated Meta-Learning
Authors: Sen Lin, Guang Yang, Junshan Zhang | Published: 2020-01-09 | Updated: 2020-05-08
Secure multiparty computations in floating-point arithmetic
Authors: Chuan Guo, Awni Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu | Published: 2020-01-09
Explainable Deep Convolutional Candlestick Learner
Authors: Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur | Published: 2020-01-08 | Updated: 2020-05-29
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
Authors: Bijeeta Pal, Shruti Tople | Published: 2020-01-08