Humayun Irshad, Qazaleh Mirsharif and Jennifer Prendki.

Crowd Sourcing based Active Learning Approach for Parking Sign Recognition

Orna Raz, Marcel Zalmanovici, Aviad Zlotnick and Eitan Farchi.

Automatically detecting data drift in machine learning based classifiers

Takuro Kutsuna, Satoshi Koide and Keisuke Kawano.

Discovering Potential False Positives in Object Detection using Adversarial Attacks

Naman Goel, Boi Faltings and Aris Filos-Ratsikas.

Decentralized Oracles via Peer-Prediction in the Presence of Lying Incentives

Onn Shehory, Eitan Farchi and Guy Barash.

Defending via strategic ML selection

Lei Cui, Dongbin Wang, Yongnan Li.

Detecting Adversarial Samples Using Heatmap of Neural Networks

Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi and Yigal Weinberger.

Machine Learning in Cyber-Security - Problems, Challenges and Data Sets

Andre Nguyen and Edward Raff.

Adversarial Attacks, Regression, and Numerical Stability Regularization

Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov and Farinaz Koushanfar.

Adversarial Reprogramming of Sequence Classification Neural Networks

Yatie Xiao, Chi Man Pun and Jizhe Zhou.

Generating Adversarial Perturbation with Root Mean Square Gradient

Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation

Ke Yan, Chaowen Zhong, Zhiwei Ji and Jing Huang.

Evaluating Semi-supervised Learning for Automated Fault Detection and Diagnosis of Air Handling Units

Jun Zhao.

Differentially Private Deep Learning with Tight Privacy-Cost Computation