Dataset Groups Activity Stream Low-Latency CryptoNets (LoLa) for Private Inference The CalTech-101 dataset is used to evaluate the performance of the proposed Low-Latency CryptoNets (LoLa) solution for private inference. BibTex: @dataset{Alon_Brutzkus_and_Oren_Elisha_and_Ran_Gilad-Bachrach_2024, abstract = {The CalTech-101 dataset is used to evaluate the performance of the proposed Low-Latency CryptoNets (LoLa) solution for private inference.}, author = {Alon Brutzkus and Oren Elisha and Ran Gilad-Bachrach}, doi = {10.57702/s36hk2hk}, institution = {No Organization}, keyword = {'CIFAR-10', 'CalTech-101', 'Homomorphic Encryption', 'MNIST', 'Private Inference'}, month = {dec}, publisher = {TIB}, title = {Low-Latency CryptoNets (LoLa) for Private Inference}, url = {https://service.tib.eu/ldmservice/dataset/low-latency-cryptonets--lola--for-private-inference}, year = {2024} }