Abstract: Adversarial patches represent a critical form of physical adversarial attacks, posing significant risks to the security of neural network-based object detection systems. Previous research on ...
Abstract: Adversarial training has achieved remarkable advancements in defending against adversarial attacks. Among them, fast adversarial training (FAT) is gaining attention for its ability to ...
Rafale, S-400, BrahMos: Op Sindoor tableau to showcase India’s ability to ‘strike deep, strike fast’
A Su-30 MKI launching a BrahMos supersonic cruise missile, the Army’s M777 ultra-light howitzers delivering calibrated ...
Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks.
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