“What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Authors: Sahar Abdelnabi, Mario Fritz | Published: 2021-02-09 | Updated: 2021-03-09
攻撃手法
Optimal Transport as a Defense Against Adversarial Attacks
Authors: Quentin Bouniot, Romaric Audigier, Angélique Loesch | Published: 2021-02-05 | Updated: 2021-03-30
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
Authors: Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2020-12-07 | Updated: 2021-12-02
Black-box Model Inversion Attribute Inference Attacks on Classification Models
Authors: Shagufta Mehnaz, Ninghui Li, Elisa Bertino | Published: 2020-12-07
Unleashing the Tiger: Inference Attacks on Split Learning
Authors: Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi | Published: 2020-12-04 | Updated: 2021-11-04
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus | Published: 2020-12-03 | Updated: 2021-03-09
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Authors: Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan | Published: 2020-10-24 | Updated: 2021-11-30
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders
Authors: Elior Nehemya, Yael Mathov, Asaf Shabtai, Yuval Elovici | Published: 2020-10-19 | Updated: 2021-09-02
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
Authors: Aref Asvadishirehjini, Murat Kantarcioglu, Bradley Malin | Published: 2020-10-17
An Analysis of Robustness of Non-Lipschitz Networks
Authors: Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang | Published: 2020-10-13 | Updated: 2023-04-18