Zobrazeno 1 - 10
of 403 782
pro vyhledávání: '"Chia, An An"'
In the advanced technology nodes, the integrated design rule checker (DRC) is often utilized in place and route tools for fast optimization loops for power-performance-area. Implementing integrated DRC checkers to meet the standard of commercial DRC
Externí odkaz:
http://arxiv.org/abs/2412.05311
In recent years, Vision-Language Models (VLMs) have demonstrated significant advancements in artificial intelligence, transforming tasks across various domains. Despite their capabilities, these models are susceptible to jailbreak attacks, which can
Externí odkaz:
http://arxiv.org/abs/2410.01438
Autor:
Wang, Tianyang, Bi, Ziqian, Zhang, Yichao, Liu, Ming, Hsieh, Weiche, Feng, Pohsun, Yan, Lawrence K. Q., Wen, Yizhu, Peng, Benji, Liu, Junyu, Chen, Keyu, Zhang, Sen, Li, Ming, Jiang, Chuanqi, Song, Xinyuan, Yang, Junjie, Jing, Bowen, Ren, Jintao, Song, Junhao, Tseng, Hong-Ming, Chen, Silin, Wang, Yunze, Liang, Chia Xin, Xu, Jiawei, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
Deep learning has transformed AI applications but faces critical security challenges, including adversarial attacks, data poisoning, model theft, and privacy leakage. This survey examines these vulnerabilities, detailing their mechanisms and impact o
Externí odkaz:
http://arxiv.org/abs/2412.08969
Autor:
Peng, Benji, Liang, Chia Xin, Bi, Ziqian, Liu, Ming, Zhang, Yichao, Wang, Tianyang, Chen, Keyu, Song, Xinyuan, Feng, Pohsun
Deep learning-based image generation has undergone a paradigm shift since 2021, marked by fundamental architectural breakthroughs and computational innovations. Through reviewing architectural innovations and empirical results, this paper analyzes th
Externí odkaz:
http://arxiv.org/abs/2412.09656
The rise of "bedroom producers" has democratized music creation, while challenging producers to objectively evaluate their work. To address this, we present AI TrackMate, an LLM-based music chatbot designed to provide constructive feedback on music p
Externí odkaz:
http://arxiv.org/abs/2412.06617
Autor:
Ju, Chia-Yi, Chen, Szu-Ming
This work explores the geometry of the Hilbert space bundle of a quantum system, focusing on properties related to the parameter-induced dimension. Instead of relying on hints from the Hamiltonian eigenvalues, the behavior of the fiber metric and the
Externí odkaz:
http://arxiv.org/abs/2412.06548
This study establishes the consistency of Bayesian adaptive testing methods under the Rasch model, addressing a gap in the literature on their large-sample guarantees. Although Bayesian approaches are recognized for their finite-sample performance an
Externí odkaz:
http://arxiv.org/abs/2412.07170
Autor:
Jia, Qi, Benally, Onri J., Zink, Brandon, Zhang, Delin, Lv, Yang, Liang, Shuang, Lyu, Deyuan, Chen, Yu-Chia, Yang, Yifei, Huang, Yu Han, Wang, Jian-Ping
Superparamagnetic tunnel junctions (sMTJs) are emerging as promising components for stochastic units in neuromorphic computing, owing to their tunable random switching behavior. Conventional MTJ control methods, such as spin-transfer torque (STT) and
Externí odkaz:
http://arxiv.org/abs/2412.06256
While perturbation theories constitute a significant foundation of modern quantum system analysis, extending them from the Hermitian to the non-Hermitian regime remains a non-trivial task. In this work, we generalize the Rayleigh-Schr\"odinger pertur
Externí odkaz:
http://arxiv.org/abs/2412.05166
While recent works on blind face image restoration have successfully produced impressive high-quality (HQ) images with abundant details from low-quality (LQ) input images, the generated content may not accurately reflect the real appearance of a pers
Externí odkaz:
http://arxiv.org/abs/2412.05043