Transformers: A Security Perspective

BS Latibari, N Nazari, MA Chowdhury, KI Gubbi… - IEEE …, 2024 - ieeexplore.ieee.org
The Transformers architecture has recently emerged as a revolutionary paradigm in the field
of deep learning, particularly excelling in Natural Language Processing (NLP) and …

AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks

S Das, S Bhattacharya, S Kundu, S Kundu… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have revolutionized natural language processing (NLP),
excelling in tasks like text generation and summarization. However, their increasing …

[PDF][PDF] Declaration of Committee

AR Alameldeen - 2024 - summit.sfu.ca
Abstract Deep Neural Networks (DNNs) are vulnerable to attacks that reduce accuracy and
impact critical applications that rely on their performance. Bit-flip attacks (BFA) enable an …

生成モデルに関するセキュリティとプライバシの現状

大畑幸矢 - コンピュータセキュリティシンポジウム 2024 論文集, 2024 - ipsj.ixsq.nii.ac.jp
論文抄録 プロンプトと呼ばれる入力に応じて文書, 画像, 動画などを生成する機械学習モデルである
生成モデル (生成 AI と呼ばれることも多い) は, その利用に専門知識が不要なこともあって人々の …