It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness

Membership Inference Attacks on Machine Learning: A Survey

(2022) Hongsheng Hu et al.   ACM COMPUTING SURVEYS

A Survey on Long-Tailed Visual Recognition

(2022) Lu Yang et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A2S2-GNN: Rigging GNN-Based Social Status by Adversarial Attacks in Signed Social Networks

(2022) Xiaoyan Yin et al.   IEEE Transactions on Information Forensics and Security

Learning From Noisy Labels With Deep Neural Networks: A Survey

(2022) Hwanjun Song et al.   IEEE Transactions on Neural Networks and Learning Systems

Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

(2021) Ishai Rosenberg et al.   ACM COMPUTING SURVEYS

Adversarial EXEmples

(2021) Luca Demetrio et al.   ACM Transactions on Privacy and Security

A Survey on Renamings of Software Entities

(2020) Guangjie Li et al.   ACM COMPUTING SURVEYS

Understanding adversarial attacks on deep learning based medical image analysis systems

(2020) Xingjun Ma et al.   PATTERN RECOGNITION

Adversarial Attacks on Deep-learning Models in Natural Language Processing

(2020) Wei Emma Zhang et al.   ACM Transactions on Intelligent Systems and Technology

Adversarial Examples on Object Recognition

(2020) Alex Serban et al.   ACM COMPUTING SURVEYS

Regularisation of neural networks by enforcing Lipschitz continuity

(2020) Henry Gouk et al.   MACHINE LEARNING

Deeply Supervised Discriminative Learning for Adversarial Defense

(2020) Aamir Mustafa et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

On Connections Between Regularizations for Improving DNN Robustness

(2020) Yiwen Guo et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

How Complex Is Your Classification Problem?

(2019) Ana C. Lorena et al.   ACM COMPUTING SURVEYS

Towards Adversarial Malware Detection

(2019) Davide Maiorca et al.   ACM COMPUTING SURVEYS

Multi-Objective Evolutionary Federated Learning

(2019) Hangyu Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

(2018) Battista Biggio et al.   PATTERN RECOGNITION

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

(2018) Naveed Akhtar et al.   IEEE Access

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

(2017) Ambra Demontis et al.   IEEE Transactions on Dependable and Secure Computing

Classification in the Presence of Label Noise: A Survey

(2014) Benoit Frenay et al.   IEEE Transactions on Neural Networks and Learning Systems

A unifying view on dataset shift in classification

(2011) Jose G. Moreno-Torres et al.   PATTERN RECOGNITION

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

(2008) A. Torralba et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE