A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition
Authors: Luke Rowe, Benjamin Thérien, Krzysztof Czarnecki, Hongyang Zhang | Published: 2022-10-05
Deep Learning Method
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
Authors: Fan Liu, Hao Liu, Wenzhao Jiang | Published: 2022-10-05
Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase
Authors: Jingtao Li, Runcong Kuang | Published: 2022-10-04
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
Authors: Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Yarong Mu, Shuang Song, Om Thakkar, Abhradeep Thakurta, Xinyi Zheng | Published: 2022-10-04 | Updated: 2024-09-17
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
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
M^4I: Multi-modal Models Membership Inference
Authors: Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue | Published: 2022-09-15
Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries
Authors: Alexander Cann, Ian Colbert, Ihab Amer | Published: 2022-09-14
SEEK: model extraction attack against hybrid secure inference protocols
Authors: Si Chen, Junfeng Fan | Published: 2022-09-14