Advances in real-world adversarial threats have heightened concerns over the privacy and security of AI systems. One key threat is Data Poisoning, where malicious data is injected into training sets or model inputs to compromise model behavior. While much of the current research focuses on deep learning, particularly F...
Jia Yi Chan, Huaqun Guo, Timothy Liu et al.· Singapore Institute of Techn...· 0 citations
Advances in real-world adversarial threats have heightened concerns over the privacy and security of AI systems. One key threat is Data Poisoning, where malicious data is injected into training sets or model inputs to compromise model behavior. While much of the current research focuses on deep learning, particularly F...
Jia Yi Chan, Huaqun Guo, Timothy Liu et al.· Singapore Institute of Techn...· 0 citations
With the increase in adoption of Generative AI (GenAI) and Large Language Models (LLMs), concerns on their security, such as prompt injection and unauthorised model behaviour, arise. These pose significant risks to data confidentiality, system integrity, and user trust. To counter this, this project presents LMAO (Lang...
Wei Xin Lai, Hui Li Tay, Timothy Cun Kiat See et al.· Singapore Institute of Techn...· 0 citations
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