Plinius: Secure and Persistent Machine Learning Model Training
Authors: Peterson Yuhala, Pascal Felber, Valerio Schiavoni, Alain Tchana | Published: 2021-04-07 | Updated: 2021-04-08
モデル設計
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
Authors: Nicholas Roberts, Vinay Uday Prabhu, Matthew McAteer | Published: 2019-12-19
Adversarial Model Extraction on Graph Neural Networks
Authors: David DeFazio, Arti Ramesh | Published: 2019-12-16
Privacy preserving Neural Network Inference on Encrypted Data with GPUs
Authors: Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio | Published: 2019-11-26
Adversarial Attack with Pattern Replacement
Authors: Ziang Dong, Liang Mao, Shiliang Sun | Published: 2019-11-25
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Authors: Wei-An Lin, Yogesh Balaji, Pouya Samangouei, Rama Chellappa | Published: 2019-11-23
Fine-grained Synthesis of Unrestricted Adversarial Examples
Authors: Omid Poursaeed, Tianxing Jiang, Yordanos Goshu, Harry Yang, Serge Belongie, Ser-Nam Lim | Published: 2019-11-20 | Updated: 2020-10-22
Adversarial Robustness of Flow-Based Generative Models
Authors: Phillip Pope, Yogesh Balaji, Soheil Feizi | Published: 2019-11-20
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
Authors: Arash Rahnama, Andre T. Nguyen, Edward Raff | Published: 2019-11-12
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
Authors: Ahmed Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud | Published: 2019-05-02 | Updated: 2020-02-18