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Found 7 papers, 2 papers with code
LLM Inference Unveiled: Survey and Roofline Model Insights
Our survey stands out from traditional literature reviews by not only summarizing the current state of research but also by introducing a framework based on roofline model for systematic analysis of LLM inference techniques.
On Adversarial Robustness of Point Cloud Semantic Segmentation
As such, we present a comparative study of PCSS robustness.
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing
However, to realize efficient GNN training is challenging, especially on large graphs.
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention
To enable such an algorithm with lower latency and better energy efficiency, we also propose an Energon co-processor architecture.
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
At the hardware design level, we propose a pipelined CirCore architecture, which supports efficient block-circulant matrices computation.
Invisible Mask: Practical Attacks on Face Recognition with Infrared
We propose a kind of brand new attack against face recognition systems, which is realized by illuminating the subject using infrared according to the adversarial examples worked out by our algorithm, thus face recognition systems can be bypassed or misled while simultaneously the infrared perturbations cannot be observed by raw eyes.
Cryptography and Security
Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections
The overall accuracy of our liveness detection system is 98. 8\%, and its robustness was evaluated in different scenarios.
