Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Authors: Chandra Thapa, Seyit Camtepe | Published: 2020-08-24
暗号化技術
DRAB-LOCUS: An Area-Efficient AES Architecture for Hardware Accelerator Co-Location on FPGAs
Authors: Jacob T. Grycel, Robert J. Walls | Published: 2019-11-11
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data
Authors: Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski | Published: 2019-08-12 | Updated: 2019-08-29
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Authors: Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica | Published: 2019-07-16 | Updated: 2019-09-03
Private Hierarchical Clustering and Efficient Approximation
Authors: Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos | Published: 2019-04-09 | Updated: 2021-10-01
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Authors: Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei | Published: 2018-11-25
The Taboo Trap: Behavioural Detection of Adversarial Samples
Authors: Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson | Published: 2018-11-18 | Updated: 2019-11-21
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
Authors: Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh | Published: 2018-07-12
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Authors: Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Davide Maiorca, Giorgio Giacinto, Claudia Eckert, Fabio Roli | Published: 2018-03-12
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Authors: Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan | Published: 2018-01-16