Abstract: Small-sample learning improves the problem of limited labeled samples in hyperspectral image (HSI) classification to a greater extent, but still suffers from the severe problem of class ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
Examine how deepfake AI is transforming cryptocurrency through sophisticated scams, rising fraud statistics, real-world ...
Morning Overview on MSNOpinion
Deepfakes hit a new level in 2025 and the next wave is scarier
Deepfake technology has crossed a threshold in 2025, shifting from clumsy curiosities to tools that can convincingly mimic ...
A recent study reveals that people struggle to differentiate between human and AI-generated faces, but a short training regimen could improve detection rates.
Not only is AI slop taking over the internet, but it’s becoming indistinguishable from the real deal. Scientists have found ...
Live Science on MSN
AI is getting better and better at generating faces — but you can train to spot the fakes
Even the most skilled face recognizers are duped by AI-generated faces, a new study finds. But they can improve with training ...
As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...
Every frontier model breaks under sustained attack. Red teaming reveals the gap between offensive capability and defensive readiness has never been wider.
iProov has demonstrated that a readily available generative AI face-swapping tool could be used to evade biometric liveness detection software and perform injection attacks, endangering remote ...
Abstract: Deep neural networks are increasingly used in image processing tasks. However, deep learning models often show vulnerability when facing adversarial attacks. Active defense is an important ...
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