RRAM-DP: Device-Calibrated Differential Privacy for In-Memory Edge Learning

Edge Artificial Intelligence of Things AIoT systems often collect sensitive data in situ, raising serious privacy concerns. Resistive-switching random-access memory RRAM is an attractive substrate for efficient AIoT thanks to its multi-bit storage and compute-in-memory CiM capabilities, while its...

Private Training and Data Generation by Clustering Embeddings

Deep neural networks often use large, high-quality datasets to achieve high performance on many machine learning tasks. When training involves potentially sensitive data, this process can raise privacy concerns, as large models have been shown to unintentionally memorize and reveal sensitive...

mcstech.net XSS vulnerability

Vulnerable URL: https://www.mcstech.net/templates/private-training.cfm?pagetitle=%22%3E%3C/title%3E%3Cimg%20src=x%20onerror=prompt%28/OPENBUGBOUNTY/%29%3E%22%3Eses%20in%20Denver%20Colorado%20Basic%20Basic=2=6=6=Word%C2%A0Basic=true=/computer-training/word/index.cfm Details: Description| Value...