Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Authors: Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu | Published: 2021-06-08
Formalizing Distribution Inference Risks
Authors: Anshuman Suri, David Evans | Published: 2021-06-07 | Updated: 2021-09-24
Antipodes of Label Differential Privacy: PATE and ALIBI
Authors: Mani Malek, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramèr | Published: 2021-06-07 | Updated: 2021-10-29
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
Authors: Mohit Kumar, Bernhard A. Moser, Lukas Fischer, Bernhard Freudenthaler | Published: 2021-06-06 | Updated: 2022-04-12
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
Authors: Qin Ding, Cho-Jui Hsieh, James Sharpnack | Published: 2021-06-05 | Updated: 2023-01-30
Differentially Empirical Risk Minimization under the Fairness Lens
Authors: Cuong Tran, My H. Dinh, Ferdinando Fioretto | Published: 2021-06-04 | Updated: 2022-09-08
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security
Authors: Jacob Brown, Tanujay Saha, Niraj K. Jha | Published: 2021-05-31
Gradient-based Data Subversion Attack Against Binary Classifiers
Authors: Rosni K Vasu, Sanjay Seetharaman, Shubham Malaviya, Manish Shukla, Sachin Lodha | Published: 2021-05-31
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Authors: Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu | Published: 2021-05-31 | Updated: 2022-03-31
Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models
Authors: Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag | Published: 2021-05-31 | Updated: 2021-06-11