Deep Learning Method

Federated Learning with Matched Averaging

Authors: Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris Papailiopoulos, Yasaman Khazaeni | Published: 2020-02-15
Optimization Strategy
Deep Learning Method
Federated Learning

Fast is better than free: Revisiting adversarial training

Authors: Eric Wong, Leslie Rice, J. Zico Kolter | Published: 2020-01-12
Adversarial Example
Adversarial attack
Deep Learning Method

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
Pruning Method
Robustness Evaluation
Deep Learning Method

Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud

Authors: Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Quanshi Zhang, Wei Wang, Bo Li | Published: 2019-12-18 | Updated: 2021-06-15
Privacy Protection
Performance Evaluation Metrics
Deep Learning Method

DAmageNet: A Universal Adversarial Dataset

Authors: Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun | Published: 2019-12-16
Data Generation
Robustness
Deep Learning Method

Potential adversarial samples for white-box attacks

Authors: Amir Nazemi, Paul Fieguth | Published: 2019-12-13
Robustness
Adversarial Spectrum Attack Detection
Deep Learning Method

Detecting and Correcting Adversarial Images Using Image Processing Operations

Authors: Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi, Isao Echizen | Published: 2019-12-11 | Updated: 2019-12-30
Adversarial Spectrum Attack Detection
Deep Learning Method
Watermarking Technology

Training Provably Robust Models by Polyhedral Envelope Regularization

Authors: Chen Liu, Mathieu Salzmann, Sabine Süsstrunk | Published: 2019-12-10 | Updated: 2021-09-20
Robustness
Optimization Problem
Deep Learning Method

Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data

Authors: Itay Mosafi, Eli David, Nathan S. Netanyahu | Published: 2019-12-09
DNN IP Protection Method
Adversarial Example
Deep Learning Method

An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness

Authors: Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li | Published: 2019-12-07 | Updated: 2020-12-04
Robustness
Loss Function
Deep Learning Method