Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Authors: Adith Boloor, Karthik Garimella, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang | Published: 2019-10-02
Machine-Learning Techniques for Detecting Attacks in SDN
Authors: Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev, Anca Delia Jurcut | Published: 2019-10-02
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering
Authors: Lakshya Jain, Varun Chandrasekaran, Uyeong Jang, Wilson Wu, Andrew Lee, Andy Yan, Steven Chen, Somesh Jha, Sanjit A. Seshia | Published: 2019-10-02 | Updated: 2020-07-17
Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network
Authors: Shisrut Rawat, Aishwarya Srinivasan, Vinayakumar R | Published: 2019-10-01
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack
Authors: Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian | Published: 2019-10-01
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2019-10-01
Hidden Trigger Backdoor Attacks
Authors: Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash | Published: 2019-09-30 | Updated: 2019-12-21
Black-box Adversarial Attacks with Bayesian Optimization
Authors: Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter | Published: 2019-09-30
Universal Approximation with Certified Networks
Authors: Maximilian Baader, Matthew Mirman, Martin Vechev | Published: 2019-09-30 | Updated: 2020-01-14
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML
Authors: Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May O'Reilly | Published: 2019-09-30 | Updated: 2020-06-17