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SpiNNcloud Systems Launches SpiNNaker2 to Advance Neuromorphic Computing for AI Systems

SpiNNcloud unveils Arm-based 'neuromorphic supercomputer'

"IPRemover: A Generative Model Inversion Attack against Deep Neural Net" by Wei Zong, Yang Wai Chow et al.

Training Deep Neural Networks (DNNs) can be expensive when data is difficult to obtain or labeling them requires significant domain expertise.Hence, it is crucial that the Intellectual Property (IP) of DNNs trained on valuable data be protected against IP infringement.DNN fingerprinting and watermarking are two lines of work in DNN IP protection.Recently proposed DNN fingerprinting techniques are able to detect IP infringement while preserving model performance by relying on the key assumption that the decision boundaries of independently trained models are intrinsically different from one another.In contrast, DNN watermarking embeds a watermark in a model and verifies IP infringement if an identical or similar watermark is extracted from a suspect model.The techniques deployed in fingerprinting and watermarking vary significantly because their underlying mechanisms are different.From an adversary's perspective, a successful IP removal attack should defeat both fingerprinting and

Financial Market Applications of LLMs

The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models (LLMs) that excel at modeling sequences of tokens that represent words or parts of words [2]. Amazingly, structural understanding

To defeat AI attacks, fight fire with more fire