Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Authors: Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang | Published: 2020-01-16 | Updated: 2020-10-21
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Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Authors: Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov | Published: 2020-01-14
DeepQuarantine for Suspicious Mail
Authors: Nikita Benkovich, Roman Dedenok, Dmitry Golubev | Published: 2020-01-13
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
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