most citedPerceptual Deep Neural Networks: Adversarial Robustness through Input Recreation

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CL2024

Beyond KV Caching: Shared Attention for Efficient LLMs

Bingli Liao, Danilo Vasconcellos Vargas

The efficiency of large language models (LLMs) remains a critical challenge, particularly in contexts where computational resources are limited. Traditional attention mechanisms in…

cs.CV2020★ 1 cited

Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation

Danilo Vasconcellos Vargas, Bingli Liao, Takahiro Kanzaki

Adversarial examples have shown that albeit highly accurate, models learned by machines, differently from humans, have many weaknesses. However, humans' perception is also fundamen…