DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs
Authors: Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela | Published: 2020-07-30
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
Authors: Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee | Published: 2020-07-29 | Updated: 2021-06-17
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning
Authors: Nuria Rodríguez-Barroso, Eugenio Martínez-Cámara, M. Victoria Luzón, Francisco Herrera | Published: 2020-07-29 | Updated: 2022-02-24
Adversarial Robustness for Machine Learning Cyber Defenses Using Log Data
Authors: Kai Steverson, Jonathan Mullin, Metin Ahiskali | Published: 2020-07-29
Efficient Sparse Secure Aggregation for Federated Learning
Authors: Constance Beguier, Mathieu Andreux, Eric W. Tramel | Published: 2020-07-29 | Updated: 2021-10-18
Face2Face: Real-time Face Capture and Reenactment of RGB Videos
Authors: Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner | Published: 2020-07-29
Label-Only Membership Inference Attacks
Authors: Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot | Published: 2020-07-28 | Updated: 2021-12-05
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Authors: Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson | Published: 2020-07-28
Reachable Sets of Classifiers and Regression Models: (Non-)Robustness Analysis and Robust Training
Authors: Anna-Kathrin Kopetzki, Stephan Günnemann | Published: 2020-07-28 | Updated: 2021-05-12
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
Authors: Jirong Yi, Raghu Mudumbai, Weiyu Xu | Published: 2020-07-28