SECURING AI THROUGH CONFIDENTIAL COMPUTING: TEES' ROLE

As artificial intelligence develops, the need to safeguard sensitive data used in training and execution becomes paramount. Confidential computing emerges as a effective solution, enabling computation on encrypted data during decryption. Trusted Execution Environments (TEEs), such as Intel SGX or ARM TrustZone, provide the foundation for confidenti

. Such experiments are called mutation accumulation (MA) experiments (Elena and Lenski 2003; Lind and Andersson 2008; Brockhurst et al. 2010). It is now probable to observe up MA experiments with total-genome sequencing with the ancestor strain and its ensuing progeny, thus enabling to the genome-vast identification in the MA mutations. the quantit