AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
- Linkang Du
- Zhikun Zhang
- et al.
- 2021
- CCS 2021
Conference paper
Publications
229 results for Adversarial Robustness and Privacy
WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data
- Nazir Saleheen
- Md Azim Ullah
- et al.
- 2021
- CCS 2021
Conference paperPrivacy preserving explanations for hierarchical time series forecasts
- Surya Shravan Kumar Sajja
- Sumanta Mukherjee
- et al.
- 2021
- INFORMS 2021
TalkSecure Random Sampling in Differential Privacy
- 2021
- ESORICS 2021
Conference paperAnonymizing Machine Learning Models
- Abigail Goldsteen
- Micha Moffie
- et al.
- 2021
- ESORICS 2021
Workshop paperGraph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
- Xiao Zang
- Yi Xie
- et al.
- 2021
- IJCAI 2021
Conference paperCharacteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
- Siyue Wang
- Xiao Wang
- et al.
- 2021
- IJCAI 2021
Conference paperGraph Adversarial Attack via Rewiring
- Yao Ma
- Suhang Wang
- et al.
- 2021
- KDD 2021
Conference paperThird Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
Conference paper3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
Workshop