Augmentation Backdoors
Authors: Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert Mullins | Published: 2022-09-29
No Free Lunch in “Privacy for Free: How does Dataset Condensation Help Privacy”
Authors: Nicholas Carlini, Vitaly Feldman, Milad Nasr | Published: 2022-09-29
Anomaly localization for copy detection patterns through print estimations
Authors: Brian Pulfer, Yury Belousov, Joakim Tutt, Roman Chaban, Olga Taran, Taras Holotyak, Slava Voloshynovskiy | Published: 2022-09-29
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks
Authors: Kevin Hector, Mathieu Dumont, Pierre-Alain Moellic, Jean-Max Dutertre | Published: 2022-09-28 | Updated: 2022-09-30
Anomaly detection optimization using big data and deep learning to reduce false-positive
Authors: Khloud Al Jallad, Mohamad Aljnidi, Mohammad Said Desouki | Published: 2022-09-28
A Snapshot of the Frontiers of Client Selection in Federated Learning
Authors: Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver | Published: 2022-09-27 | Updated: 2023-01-02
Preprint: Privacy-preserving IoT Data Sharing Scheme
Authors: Ali Abdullah S. AlQahtani, Hosam Alamleh, Reem Alrawili | Published: 2022-09-26
FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems
Authors: Joel Brogan, Nell Barber, David Cornett, David Bolme | Published: 2022-09-26
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy
Authors: Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas Maier | Published: 2022-09-23 | Updated: 2023-07-24
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Authors: Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood | Published: 2022-09-22