Knockoff Nets: Stealing Functionality of Black-Box Models
Authors: Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz | Published: 2018-12-06
モデル抽出攻撃
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
Authors: Milad Nasr, Reza Shokri, Amir Houmansadr | Published: 2018-12-03 | Updated: 2020-06-06
Model-Reuse Attacks on Deep Learning Systems
Authors: Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2018-12-02
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting
Authors: Clement Fung, Jamie Koerner, Stewart Grant, Ivan Beschastnikh | Published: 2018-11-23 | Updated: 2019-02-24
Exploring Connections Between Active Learning and Model Extraction
Authors: Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan | Published: 2018-11-05 | Updated: 2019-11-20
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference
Authors: Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique | Published: 2018-11-05
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Authors: Faiq Khalid, Muhammmad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique | Published: 2018-11-04
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information
Authors: Lejla Batina, Shivam Bhasin, Dirmanto Jap, Stjepan Picek | Published: 2018-10-22
Privacy-Preserving Deep Learning via Weight Transmission
Authors: Le Trieu Phong, Tran Thi Phuong | Published: 2018-09-10 | Updated: 2019-02-12
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Authors: Mengjia Yan, Christopher Fletcher, Josep Torrellas | Published: 2018-08-14