Security Boulevard

NDSS 2025 – SHAFT: Secure, Handy, Accurate And Fast Transformer Inference

Andes Y. L. Kei, Sherman S. M. Chow PAPER SHAFT: Secure, Handy, Accurate and Fast Transformer Inference Adoption of transformer-based machine learning models is growing, raising concerns about ...
eLife

Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...
IEEE

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
IEEE

Adversarial Imitation Learning with General Function Approximation: Theoretical Analysis and Practical Algorithms

Abstract: Adversarial imitation learning (AIL), a prominent approach in imitation learning, has achieved significant practical success powered by neural network approximation. However, existing ...