Educational Feedback: After each decision, the LLM provides feedback explaining why the choice was good or bad in terms of cybersecurity practices. This turns each scenario into a learning opportunity. Progressive Difficulty: The challenges become progressively harder, introducing more complex cybersecur...
The Good, The Bad, and Why: Unveiling Emotions in Generative AI Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie ICML 2024|December 2023 Publication|Publication
This paper examines the role of Generative AI (GenAI) and Large Language Models (LLMs) in penetration testing exploring the benefits, challenges, and risks associated with cyber security applications. Through the use of generative artificial intelligence, penetration testing becomes more creative, test...
GANs, along with VAEs, initially sparked a lot of buzz around the potential of generative AI. They use unsupervised learning, so the model gets better on its own without researchers needing to tell it whether its outputs are good or bad. GANs also manage to learn very quickly; compared to...
In addition to the traditional machine-learning risks, generative AI brings a new category of risk. The most commonly known is when ChatGPT ‘hallucinates’ and provides answers that sound convincing but are wrong or just invented. In the case of LLMs, careful use of prompt engineering a...
Whether influenced by Hawkins or not, generative AI works exactly this way. And, startlingly, it acts as if it is intelligent. Build an artificial neural network. All generative AI models begin with an artificial neural network encoded in software. Thompson says a good visual metaphor for a ...
This paper examines the role of Generative AI (GenAI) and Large Language Models (LLMs) in penetration testing exploring the benefits, challenges, and risks associated with cyber security applications. Through the use of generative artificial intelligence, penetration testing becomes more creative, test...
the energy use could become an issue. More research is needed to make generative AI more efficient. The good news is that AI can run on renewable energy. By bringing the computation to where green energy is more abundant, or scheduling computation for times of day when renewable energy is ...
Within the first few hours, I attended keynotes and panel discussions stuffed with paradoxes: AI is good; AI is bad; opportunity awaits you; the end is coming. If you’re a lifelong learner with an open mind, this type of discourse is like a bee to honey. ...
Bad grammar, bad language, and things that just didn’t quite make sense. But now it is so much easier to create high-quality spam emails using gen AI. Finally, there is strategic risk and third-party risk. Strategic risk is about where you play and how you competitively place yourself,...