The Inconvenient Truth about Web Certificates. - Nevena Vratonjic; Julien Freudiger; Vincent Bindschaedler; Jean-Pierre Hubaux (WEIS, 2011)

How Others Compromise Your Location Privacy: The Case of Shared Public IPs at Hotspots. - Nevena Vratonjic; Kévin Huguenin; Vincent Bindschaedler; Jean-Pierre Hubaux (Privacy Enhancing Technologies, 2013)

A Location-Privacy Threat Stemmingfrom the Use of Shared Public IP Addresses. - Nevena Vratonjic; Kévin Huguenin; Vincent Bindschaedler; Jean-Pierre Hubaux (IEEE Trans. Mob. Comput., 2014)

Practicing Oblivious Access on Cloud Storage: the Gap, the Fallacy, and the New Way Forward. - Vincent Bindschaedler; Muhammad Naveed 001; Xiaorui Pan; XiaoFeng Wang 001; Yan Huang 001 (CCS, 2015)

Elite: Automatic Orchestration of Elastic Detection Services to Secure Cloud Hosting. - Yangyi Chen; Vincent Bindschaedler; XiaoFeng Wang 001; Stefan Berger; Dimitrios E. Pendarakis (RAID, 2015)

Privacy through Fake yet Semantically Real Traces. - Vincent Bindschaedler; Reza Shokri (CoRR, 2015)

Synthesizing Plausible Privacy-Preserving Location Traces. - Vincent Bindschaedler; Reza Shokri (IEEE Symposium on Security and Privacy, 2016)

Leakage-Abuse Attacks against Order-Revealing Encryption. - Paul Grubbs; Kevin Sekniqi; Vincent Bindschaedler; Muhammad Naveed 001; Thomas Ristenpart (IACR Cryptol. ePrint Arch., 2016)

Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX. - Wenhao Wang 001; Guoxing Chen; Xiaorui Pan; Yinqian Zhang; XiaoFeng Wang 001; Vincent Bindschaedler; Haixu Tang; Carl A. Gunter (CCS, 2017)

Achieving Differential Privacy in Secure Multiparty Data Aggregation Protocols on Star Networks. - Vincent Bindschaedler; Shantanu Rane; Alejandro E. Brito; Vanishree Rao; Ersin Uzun (CODASPY, 2017)

Side-Channel Attacks on Shared Search Indexes. - Liang Wang 023; Paul Grubbs; Jiahui Lu; Vincent Bindschaedler; David Cash; Thomas Ristenpart (IEEE Symposium on Security and Privacy, 2017)

Towards Measuring Membership Privacy. - Yunhui Long; Vincent Bindschaedler; Carl A. Gunter (CoRR, 2017)

Plausible Deniability for Privacy-Preserving Data Synthesis. - Vincent Bindschaedler; Reza Shokri; Carl A. Gunter (Proc. VLDB Endow., 2017)

NRF: A Naive Re-identification Framework. - Shubhra Kanti Karmaker Santu; Vincent Bindschaedler; ChengXiang Zhai; Carl A. Gunter (WPES@CCS, 2018)

Understanding Membership Inferences on Well-Generalized Learning Models. - Yunhui Long; Vincent Bindschaedler; Lei Wang; Diyue Bu; Xiaofeng Wang 006; Haixu Tang; Carl A. Gunter; Kai Chen 012 (CoRR, 2018)

The Tao of Inference in Privacy-Protected Databases. - Vincent Bindschaedler; Paul Grubbs; David Cash; Thomas Ristenpart; Vitaly Shmatikov (Proc. VLDB Endow., 2018)

Towards Realistic Membership Inferences: The Case of Survey Data. - Luke A. Bauer; Vincent Bindschaedler (ACSAC, 2020)

A Pragmatic Approach to Membership Inferences on Machine Learning Models. - Yunhui Long; Lei Wang; Diyue Bu; Vincent Bindschaedler; XiaoFeng Wang 001; Haixu Tang; Carl A. Gunter; Kai Chen 012 (EuroS&P, 2020)

Beyond Lp Clipping: Equalization based Psychoacoustic Attacks against ASRs. - Hadi Abdullah; Muhammad Sajidur Rahman; Christian Peeters; Cassidy Gibson; Washington Garcia; Vincent Bindschaedler; Thomas Shrimpton; Patrick Traynor (ACML, 2021)

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems. - Hadi Abdullah; Kevin Warren; Vincent Bindschaedler; Nicolas Papernot; Patrick Traynor (SP, 2021)

Generative Models for Security: Attacks, Defenses, and Opportunities. - Luke A. Bauer; Vincent Bindschaedler (CoRR, 2021)

Covert Message Passing over Public Internet Platforms Using Model-Based Format-Transforming Encryption. - Luke A. Bauer; James K. Howes IV; Sam A. Markelon; Vincent Bindschaedler; Thomas Shrimpton (CoRR, 2021)

Enhanced Membership Inference Attacks against Machine Learning Models. - Jiayuan Ye 001; Aadyaa Maddi; Sasi Kumar Murakonda; Vincent Bindschaedler; Reza Shokri (CCS, 2022)

Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems. - Hadi Abdullah; Aditya Karlekar; Vincent Bindschaedler; Patrick Traynor (ICLR, 2022)

PermPress: Machine Learning-Based Pipeline to Evaluate Permissions in App Privacy Policies. - Muhammad Sajidur Rahman; Pirouz Naghavi; Blas Kojusner; Sadia Afroz 001; Byron Williams; Sara Rampazzi; Vincent Bindschaedler (IEEE Access, 2022)

On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning. - Wenxuan Bao; Luke A. Bauer; Vincent Bindschaedler (CoRR, 2022)

On the Choice of Databases in Differential Privacy Composition. - Valentin Hartmann; Vincent Bindschaedler; Robert West 001 (CoRR, 2022)

Analyzing the Monetization Ecosystem of Stalkerware. - Cassidy Gibson; Vanessa Frost; Katie Platt; Washington Garcia; Luis Vargas; Sara Rampazzi; Vincent Bindschaedler; Patrick Traynor; Kevin R. B. Butler (Proc. Priv. Enhancing Technol., 2022)

Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds. - Valentin Hartmann; Vincent Bindschaedler; Alexander Bentkamp; Robert West 001 (Proc. Priv. Enhancing Technol., 2022)

Digital Watermarking for Detecting Malicious Intellectual Property Cores in NoC Architectures. - Subodha Charles; Vincent Bindschaedler; Prabhat Mishra 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems. - Hadi Abdullah; Aditya Karlekar; Saurabh Prasad; Muhammad Sajidur Rahman; Logan Blue; Luke A. Bauer; Vincent Bindschaedler; Patrick Traynor (NDSS, 2023)

DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning. - Wenxuan Bao; Francesco Pittaluga; Vijay Kumar B. G; Vincent Bindschaedler (NeurIPS, 2023)

EMI-LiDAR: Uncovering Vulnerabilities of LiDAR Sensors in Autonomous Driving Setting using Electromagnetic Interference. - Sri Hrushikesh Varma Bhupathiraju; Jennifer Sheldon; Luke A. Bauer; Vincent Bindschaedler; Takeshi Sugawara 001; Sara Rampazzi (WISEC, 2023)

SoK: Memorization in General-Purpose Large Language Models. - Valentin Hartmann; Anshuman Suri; Vincent Bindschaedler; David Evans 001; Shruti Tople; Robert West 001 (CoRR, 2023)

R+R: Towards Reliable and Generalizable Differentially Private Machine Learning. - Wenxuan Bao; Vincent Bindschaedler (ACSAC, 2024)

Self-Supervised Fine-Tuning of Automatic Speech Recognition Systems against Signal Processing Attacks. - Oshan Jayawardena; Dilmi Caldera; Sandani Jayawardena; Avishka Sandeepa; Vincent Bindschaedler; Subodha Charles (AsiaCCS, 2024)

Leveraging Generative Models for Covert Messaging: Challenges and Tradeoffs for "Dead-Drop" Deployments. - Luke A. Bauer; James K. Howes IV; Sam A. Markelon; Vincent Bindschaedler; Thomas Shrimpton (CODASPY, 2024)

Provably Secure Covert Messaging Using Image-Based Diffusion Processes. - Luke A. Bauer; Wenxuan Bao; Vincent Bindschaedler (SaTML, 2025)

Inference Attacks for X-Vector Speaker Anonymization. - Luke A. Bauer; Wenxuan Bao; Malvika Jadhav; Vincent Bindschaedler (SP (Workshops), 2025)

Towards Privacy-preserving Photorealistic Self-avatars in Mixed Reality. - Ethan Wilson; Vincent Bindschaedler; Sophie Jörg; Sean Sheikholeslam; Kevin R. B. Butler; Eakta Jain (CoRR, 2025)

Thwart Me If You Can: An Empirical Analysis of Android Platform Armoring Against Stalkerware. - Malvika Jadhav; Wenxuan Bao; Vincent Bindschaedler (CoRR, 2025)