PETS / HotPETS 2021

84 talks · 2021 · indexed by Breach Arc Archive. Links open each talk on YouTube.

• [1A] Differentially Private Naive Bayes Classifier using Smooth Sensitivity 2021
• [1A] DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing 2021
• [1A] privGAN: Protecting GANs from membership inference attacks at low cost to utility 2021
• [1A] Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping 2021
• [1B] Controlled Functional Encryption Revisited: Multi-Authority Extensions and Efficient Schemes... 2021
• [1B] Faster homomorphic comparison operations for BGV and BFV 2021
• [1B] Mercurial Signatures for Variable-Length Messages 2021
• [1B] Private Stream Aggregation with Labels in the Standard Model 2021
• [1C] Automated Extraction and Presentation of Data Practices in Privacy Policies 2021
• [1C] Data Portability between Online Services: An Empirical Analysis on the Effectiveness of GDPR... 2021
• [1C] Privacy Preference Signals: Past, Present and Future 2021
• [1C] Unifying Privacy Policy Detection 2021
• [2A] Differential Privacy at Risk: Bridging Randomness and Privacy Budget 2021
• [2A] DyPS: Dynamic, Private and Secure GWAS 2021
• [2A] Growing synthetic data through differentially-private vine copulas 2021
• [2A] SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data 2021
• [2B] Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning 2021
• [2B] Secure Training of Decision Trees with Continuous Attributes 2021
• [2B] SoK: Privacy-Preserving Collaborative Tree-based Model Learning 2021
• [2B] SoK: Privacy-Preserving Computation Techniques for Deep Learning 2021
• [2C] "Did you know this camera tracks your mood?": Modeling People's Privacy Expectations and... 2021
• [2C] "I would have to evaluate their objections": Privacy tensions between smart home device... 2021
• [2C] "Warn Them" or "Just Block Them"?: Comparing Privacy Concerns of Older and Working Age Adults 2021
• [2C] Validity and Reliability of the Scale Internet Users’ Information Privacy Concerns (IUIPC) 2021
• [3A] Face-Off: Adversarial Face Obfuscation 2021
• [3A] FoggySight: A Scheme for Facial Lookup Privacy 2021
• [3A] On the (Im)Practicality of Adversarial Perturbation for Image Privacy 2021
• [3A] Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces.. 2021
• [3B] Efficient homomorphic evaluation of k-NN classifiers 2021
• [3B] Privacy-Preserving Approximate k-Nearest-Neighbors Search that Hides Access, Query and... 2021
• [3B] Scalable Privacy-Preserving Distributed Learning 2021
• [3B] SoK: Efficient Privacy-preserving Clustering 2021
• [3C] "We, three brothers have always known everything of each other": A Cross-cultural Study of... 2021
• [3C] Digital inequality through the lens of self-disclosure 2021
• [3C] The Motivated Can Encrypt (Even with PGP) 2021
• [3C] The Role of Privacy in Digitalization – Analyzing Perspectives of German Farmers 2021
• [4A] DNA Sequencing Flow Cells and the Security of the Molecular-Digital Interface 2021
• [4A] Genome Reconstruction Attacks Against Genomic Data-Sharing Beacons 2021
• [4A] Revisiting Membership Inference Under Realistic Assumptions 2021
• [4A] Supervised Authorship Segmentation of Open Source Code Projects 2021
• [4B] CrowdNotifier: Decentralized Privacy-Preserving Presence Tracing 2021
• [4B] EL PASSO: Efficient and Lightweight Privacy-preserving Single Sign On 2021
• [4B] Residue-Free Computing 2021
• [4B] SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications 2021
• [4C] Awareness, Adoption, and Misconceptions of Web Privacy Tools 2021
• [4C] Defining Privacy: How Users Interpret Technical Terms in Privacy Policies 2021
• [4C] Exploring Mental Models of the Right to Informational Self-Determination of Office Workers... 2021
• [4C] Managing Potentially Intrusive Practices In The Browser: A User-Centered Perspective 2021
• [5A] A calculus of tracking: theory and practice 2021
• [5A] Déjà vu: Abusing Browser Cache Headers to Identify and Track Online Users 2021
• [5A] ML-CB: Machine Learning Canvas Block 2021
• [5A] Unveiling Web Fingerprinting in the Wild Via Code Mining and Machine Learning 2021
• [5B] Fast Privacy-Preserving Punch Cards 2021
• [5B] SoK: Privacy-Preserving Reputation Systems 2021
• [5B] Unlinkable Updatable Hiding Databases and Privacy-Preserving Loyalty Programs artifact 2021
• [5B] You May Also Like... Privacy: Recommendation Systems Meet PIR 2021
• [5C] Blocking Without Breaking: Identification and Mitigation of Non-Essential IoT Traffic 2021
• [5C] Defending Against Microphone-Based Attacks with Personalized Noise 2021
• [5C] Real-time Analysis of Privacy-(un)aware IoT Applications 2021
• [5C] The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services 2021
• [6A] A First Look at Private Communications in Video Games using Visual Features 2021
• [6A] LogPicker: Strengthening Certificate Transparency against covert adversaries 2021
• [6A] Privacy-Preserving & Incrementally-Deployable Support for Certificate Transparency in Tor 2021
• [6A] Too Close for Comfort: Morasses of (Anti-) Censorship in the Era of CDNs 2021
• [6B] Foundations of Ring Sampling 2021
• [6B] Gage MPC: Bypassing Residual Function Leakage for Non-Interactive MPC 2021
• [6B] HashWires: Hyperefficient Credential-Based Range Proofs 2021
• [6B] SwapCT: Swap Confidential Transactions for Privacy-Preserving Multi-Token Exchanges 2021
• [6C] Less is More: A privacy-respecting Android malware classifier using federated learning 2021
• [6C] Three Years Later: A Study of MAC Address Randomization In Mobile Devices And When It Succeeds 2021
• [6C] Who Can Find My Devices? Security and Privacy of Apple's Crowd-Sourced Bluetooth Location... 2021
• [6C] zkSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices 2021
• [7A] Domain name encryption is not enough: privacy leakage via IP-based website fingerprinting 2021
• [7A] GANDaLF: GAN for Data-Limited Fingerprinting 2021
• [7A] Website Fingerprinting in the Age of QUIC 2021
• [7B] Fortified Multi-Party Computation: Taking Advantage of Simple Secure Hardware Modules 2021
• [7B] Multiparty Homomorphic Encryption from Ring-Learning-With-Errors 2021
• [7B] Secure integer division with a private divisor 2021
• [7C] Holes in the Geofence: Privacy Vulnerabilities in "Smart" DNS Services 2021
• [7C] Oblivious DNS over HTTPS (ODoH): A Practical Privacy Enhancement to DNS 2021
• [7C] The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion 2021
• PETS 2021 Awards and Closing 2021
• PETS 2021 Welcome and Opening 2021
• PETS2021 Town Hall 2021