On Inferring Training Data Attributes in Machine Learning Models
Authors: Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar | Published: 2019-08-28 | Updated: 2019-10-12
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Rényi Differential Privacy of the Sampled Gaussian Mechanism
Authors: Ilya Mironov, Kunal Talwar, Li Zhang | Published: 2019-08-28
Detection of Backdoors in Trained Classifiers Without Access to the Training Set
Authors: Zhen Xiang, David J. Miller, George Kesidis | Published: 2019-08-27 | Updated: 2020-08-19
Key Protected Classification for Collaborative Learning
Authors: Mert Bülent Sarıyıldız, Ramazan Gökberk Cinbiş, Erman Ayday | Published: 2019-08-27 | Updated: 2020-04-22
SynGAN: Towards Generating Synthetic Network Attacks using GANs
Authors: Jeremy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne | Published: 2019-08-26
Adversarial Edit Attacks for Tree Data
Authors: Benjamin Paaßen | Published: 2019-08-25 | Updated: 2019-08-27
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Authors: Zhixiong Yang, Arpita Gang, Waheed U. Bajwa | Published: 2019-08-23 | Updated: 2020-06-02
Testing Robustness Against Unforeseen Adversaries
Authors: Max Kaufmann, Daniel Kang, Yi Sun, Steven Basart, Xuwang Yin, Mantas Mazeika, Akul Arora, Adam Dziedzic, Franziska Boenisch, Tom Brown, Jacob Steinhardt, Dan Hendrycks | Published: 2019-08-21 | Updated: 2023-10-30
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Authors: Bingzhe Wu, Shiwan Zhao, ChaoChao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou | Published: 2019-08-21 | Updated: 2019-09-25
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Authors: Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu | Published: 2019-08-21 | Updated: 2019-10-26