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An optimized graph neural network approach for robust and explainable IoT intrusion detection against adversarial attacks. [PDF]
Sci RepMohammad UG +7 more
europepmc +1 more source
Lightweight and interpretable edge intelligence AI with intrusion detection for trustworthy cardiac arrhythmia in medical IoT. [PDF]
Sci RepKhalid MI +3 more
europepmc +1 more source
Hybrid Intrusion Detection System with Real-Time Concept Drift Detection for Enhanced IoT Security. [PDF]
Sensors (Basel)Obaidat MA, Abouali M, Shakeel A.
europepmc +1 more source
Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 It is challenging to fool an image classifier based on deep neural networks under the black-box setting where the target model can only be queried. Among existing black-box attacks, transfer-based methods tend to overfit the substitute model on parameter
Qinghua Hu, Qi Tian, Yahong Han
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A low-query black-box adversarial attack based on transferability
Knowledge-Based Systems, 2021Xiaolei Liu, Teng Hu
exaly
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack
ACM Transactions on Intelligent Systems and Technology, 2023Zeyu Dai, Shengcai Liu, Ke Tang
exaly
Query efficient black-box adversarial attack on deep neural networks
Pattern Recognition, 2023Yuyuan Zeng, Yisen Wang, Shu-Tao Xia
exaly