Random heterogeneous spiking neural network for adversarial defense. [PDF]
iScienceWang J +5 more
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Defense against adversarial malware obfuscation attacks using explainable artificial intelligence. [PDF]
This work analyses adversarial attacks against malware detectors as well as strategies of detection and defense against such attacks. With the goal to improve already existing detection methods and adapt them for use with any feature vectors, this work ...
Kasperavičius, Liudas,
core
An Integrated and Robust Vision System for Internal and External Thread Defect Detection with Adversarial Defense. [PDF]
Sensors (Basel)Fu L, Li L, Zhang G, Jiang Z.
europepmc +1 more source
Enhancing Adversarial Defense via Brain Activity Integration Without Adversarial Examples. [PDF]
Sensors (Basel)Nakajima T +4 more
europepmc +1 more source
Adversarial robustness of deep learning-based thyroid nodule segmentation in ultrasound. [PDF]
PLOS Digit HealthDietrich N, McShannon D.
europepmc +1 more source
ADS Guard: A Generalizable Defense Framework for Adversarially Robust Occupancy Detection in Smart Buildings. [PDF]
Sensors (Basel)Chaudhari P, Xiao Y, Sun W.
europepmc +1 more source
Adversarial Machine Learning in Industrial IoT: A Systematic Review of Attack Realism, Defense Trade-Offs, and Deployment Gaps. [PDF]
Sensors (Basel)Alsaidlani A, Rashid M, Aljabri M.
europepmc +1 more source
Lightweight Security-by-Design for TinyML Models in Constrained Embedded Environments. [PDF]
Sensors (Basel)Alanazi HA, Alshammari KR.
europepmc +1 more source
AEGIS: A Semantic GAN and Evidential Learning Framework for Robust Adversarial Detection in Vision Sensors. [PDF]
Sensors (Basel)Boughdiri M, Msahli M, Bifet A.
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CASCADENCE: a layered cascade defense mechanism for federated learning. [PDF]
Sci RepHashmi SW, Shukla RM, Bhunia S.
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