Membership Inference Attack on Graph Neural Networks
Authors: Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla | Published: 2021-01-17 | Updated: 2021-12-18
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
Authors: J. -P. Schulze, P. Sperl, K. Böttinger | Published: 2021-01-12 | Updated: 2024-01-14
SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning
Authors: Tanujay Saha, Najwa Aaraj, Neel Ajjarapu, Niraj K. Jha | Published: 2021-01-07 | Updated: 2022-10-19
Machine Learning on Cloud with Blockchain: A Secure, Verifiable and Fair Approach to Outsource the Linear Regression for Data Analysis
Authors: Hanlin Zhang, Peng Gao, Jia Yu, Jie Lin, Neal N. Xiong | Published: 2021-01-07 | Updated: 2021-11-22
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
Authors: Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider | Published: 2021-01-06 | Updated: 2023-08-05
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Authors: Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis | Published: 2021-01-04 | Updated: 2021-03-29
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Authors: Jing Lin, Ryan Luley, Kaiqi Xiong | Published: 2021-01-01 | Updated: 2021-09-02
Stack-based Buffer Overflow Detection using Recurrent Neural Networks
Authors: William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro | Published: 2020-12-30
With False Friends Like These, Who Can Notice Mistakes?
Authors: Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen | Published: 2020-12-29 | Updated: 2021-12-13
Phishing Detection through Email Embeddings
Authors: Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones | Published: 2020-12-28