Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection
Authors: Nilesh A. Ahuja, Ibrahima Ndiour, Trushant Kalyanpur, Omesh Tickoo | Published: 2019-09-25
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Authors: Tianyu Pang, Kun Xu, Jun Zhu | Published: 2019-09-25 | Updated: 2020-02-20
Matrix Sketching for Secure Collaborative Machine Learning
Authors: Mengjiao Zhang, Shusen Wang | Published: 2019-09-24 | Updated: 2021-07-08
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Authors: Minhao Cheng, Simranjit Singh, Patrick Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh | Published: 2019-09-24 | Updated: 2020-02-14
HealthGuard: A Machine Learning-Based Security Framework for Smart Healthcare Systems
Authors: AKM Iqtidar Newaz, Amit Kumar Sikder, Mohammad Ashiqur Rahman, A. Selcuk Uluagac | Published: 2019-09-23
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
Authors: João Ribeiro, Francisco S. Melo, João Dias | Published: 2019-09-22
Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data
Authors: Evan Brinckman, Andrey Kuehlkamp, Jarek Nabrzyski, Ian J. Taylor | Published: 2019-09-22
Dynamic data fusion using multi-input models for malware classification
Authors: Viktor Zenkov, Jason Laska | Published: 2019-09-21
Challenges of Privacy-Preserving Machine Learning in IoT
Authors: Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng | Published: 2019-09-21
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection
Authors: Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, Aziz Mohaisen | Published: 2019-09-20