Results Results obtained from PETS 2021 proceedings. Title Artifact URL Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping Private Stream Aggregation with Labels in the Standard Model Automated Extraction and Presentation of Data Practices in Privacy Policies Privacy Preference Signals: Past, Present and Future Growing synthetic data through differentially-private vine copulas Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces with Cluster-Specific Features Face-Off: Adversarial Face Obfuscation SoK: Efficient Privacy-preserving Clustering EL PASSO: Efficient and Lightweight Privacy-preserving Single Sign On Residue-Free Computing A calculus of tracking: theory and practice Déjà vu: Abusing Browser Cache Headers to Identify and Track Online Users ML-CB: Machine Learning Canvas Block Fast Privacy-Preserving Punch Cards Unlinkable Updatable Hiding Databases and Privacy-Preserving Loyalty Programs Privacy-Preserving & Incrementally-Deployable Support for Certificate Transparency in Tor LogPicker: Strengthening Certificate Transparency against covert adversaries SwapCT: Swap Confidential Transactions for Privacy-Preserving Multi-Token Exchanges HashWires: Hyperefficient Credential-Based Range Proofs Who Can Find My Devices? Security and Privacy of Apple's Crowd-Sourced Bluetooth Location Tracking System Website Fingerprinting in the Age of QUIC GANDaLF: GAN for Data-Limited Fingerprinting Domain name encryption is not enough: privacy leakage via IP-based website fingerprinting Multiparty Homomorphic Encryption from Ring-Learning-With-Errors
