Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks
Authors: Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann, Rainer Leupers | Published: 2021-07-19
Attack Method
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
Authors: Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, Bimal Viswanath | Published: 2021-03-07 | Updated: 2021-03-11
A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems
Authors: Nur Imtiazul Haque, Mohammad Ashiqur Rahman, Md Hasan Shahriar, Alvi Ataur Khalil, Selcuk Uluagac | Published: 2021-03-05
A flow-based IDS using Machine Learning in eBPF
Authors: Maximilian Bachl, Joachim Fabini, Tanja Zseby | Published: 2021-02-19 | Updated: 2022-03-04
Perceptually Constrained Adversarial Attacks
Authors: Muhammad Zaid Hameed, Andras Gyorgy | Published: 2021-02-14
“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
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