Industry
Japan to revise economic security law to support projects abroad
The government plans to submit a bill to revise the economic security promotion law during the current session of parliament that began on Wednesday. The Japanese government plans to revise the economic security promotion law to support companies with economic security-linked projects overseas. This will be the first revision of the law, established in 2022. The move comes amid a rapidly changing international environment, as the Ukraine-Russia war drags on and China continues to flex its economic muscle. Competition is also intensifying in the development of artificial intelligence and other cutting-edge technologies.
Appendices
The supplementary material is organized as follows. We first discuss additional related work and provide experiment details inSection 2andAppendix Brespectively. Adversarial Defenses: Neural networks trained using standard procedures such as SGD are extremely vulnerable [23] to -bound adversarial attacks such as FGSM [23], PGD [42], CW [11], andMomentum [17];Unrestricted attacks [7,19]cansignificantly degrade model performance as well. Defense strategies based on heuristics such as feature squeezing [82], denoising [80], encoding [10], specialized nonlinearities [83] and distillation [56] have had limited success against stronger attacks [2]. Then, we introduce a noisy version of the5-slab block,whichwelateruseinAppendixD.
18d3a2f3068d6c669dcae19ceca1bc24-Paper-Conference.pdf
Thebrain prepares forlearning evenbefore interacting withtheenvironment, by refining and optimizing its structures through spontaneous neural activity that resembles random noise. However,the mechanism of such aprocess has yet to be understood, and it is unclear whether this process can benefit the algorithm of machine learning.