Privacy Amplification Via Bernoulli Sampling
Authors: Jacob Imola, Kamalika Chaudhuri | Published: 2021-05-21 | Updated: 2021-10-18
最適化手法
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
Authors: Qiao Zhang, Chunsheng Xin, Hongyi Wu | Published: 2021-05-05
Statistical inference for individual fairness
Authors: Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun | Published: 2021-03-30
Enabling Homomorphically Encrypted Inference for Large DNN Models
Authors: Guillermo Lloret-Talavera, Marc Jorda, Harald Servat, Fabian Boemer, Chetan Chauhan, Shigeki Tomishima, Nilesh N. Shah, Antonio J. Peña | Published: 2021-03-30 | Updated: 2021-04-29
Graph Unlearning
Authors: Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang | Published: 2021-03-27 | Updated: 2022-09-16
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus | Published: 2021-03-25
Black-box Detection of Backdoor Attacks with Limited Information and Data
Authors: Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu | Published: 2021-03-24
A Challenge Obfuscating Interface for Arbiter PUF Variants against Machine Learning Attacks
Authors: Yu Zhuang, Khalid T. Mursi, Li Gaoxiang | Published: 2021-03-24
CNN vs ELM for Image-Based Malware Classification
Authors: Mugdha Jain, William Andreopoulos, Mark Stamp | Published: 2021-03-24
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework
Authors: Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney | Published: 2020-12-21