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  2. Adversarial machine learning - Wikipedia

    en.wikipedia.org/wiki/Adversarial_machine_learning

    Examples include attacks in spam filtering, where spam messages are obfuscated through the misspelling of "bad" words or the insertion of "good" words; [19] [20] attacks in computer security, such as obfuscating malware code within network packets or modifying the characteristics of a network flow to mislead intrusion detection; [21] [22] attacks in biometric recognition where fake biometric ...

  3. Countering AI-driven cyberattacks with AI-driven cybersecurity

    www.aol.com/finance/countering-ai-driven-cyber...

    The generative AI boom may be having an impact already: Our research shows that email-delivered attacks have spiked in 2023, representing 86% of all file-based attacks we recorded. Other types of ...

  4. Prompt injection - Wikipedia

    en.wikipedia.org/wiki/Prompt_injection

    token smuggling, is another type of jailbreaking attack, in which the nefarious prompt is wrapped in a code writing task. [9] Prompt injection can be viewed as a code injection attack using adversarial prompt engineering. In 2022, the NCC Group characterized prompt injection as a new class of vulnerability of AI/ML systems. [10]

  5. Hallucination (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Hallucination_(artificial...

    Wired noted in 2018 that, despite no recorded attacks "in the wild" (that is, outside of proof-of-concept attacks by researchers), there was "little dispute" that consumer gadgets, and systems such as automated driving, were susceptible to adversarial attacks that could cause AI to hallucinate. Examples included a stop sign rendered invisible ...

  6. AI rise will lead to increase in cyberattacks, GCHQ warns - AOL

    www.aol.com/news/ai-rise-lead-increase-cyber...

    The rapid development of novel Artificial Intelligence (AI) tools will lead to an increase in cyberattacks and lower the barrier of entry for less sophisticated hackers to do digital harm, Britain ...

  7. Google’s Gemini is helping hackers work faster but hasn’t ...

    www.aol.com/finance/google-gemini-helping...

    Google's own security researchers say hackers are using the company's Gemini AI model to help streamline aspects of cyberattacks. ... If a technology can be at all useful for cyber attacks ...

  8. AI safety - Wikipedia

    en.wikipedia.org/wiki/AI_safety

    AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.

  9. Cyberattacks are the No. 1 worry for business leaders—and AI ...

    www.aol.com/finance/cyber-attacks-no-1-worry...

    For example, AI can write a persuasive phishing email without the typos or format inconsistencies that may be a red flag to a target. ... “For a nation-state attack, AI will help the hackers a ...

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