Venue

- Any -AccessACMLACSACarXivAsiaCCSCCSDLSPEuroS&PICLRNeurIPSSatMLTMCVLSIWiSecCODASPYCRYPTONDSSPETSRAIDS&P (Oakland)USENIX SecurityVLDBWEISWPES

Keywords

- Any -Adversarial Machine LearningAndroidAnonymous CommunicationApplied CryptographyAutonomous VehiclesCloud SecurityData AugmentationData SynthesisDe-IdentificationDifferentially Private Machine LearningDigital WatermarkingEMIEncrypted DatabasesGenerative ModelsHardware SecurityInference AttacksIntel SGXIntrusion DetectionLarge Language ModelsLiDARLocation PrivacyMembership PrivacyMemorizationNetwork-on-ChipPlausible DeniabilityPrivacy AuditingPrivacy PoliciesPrivacy TestingSearch SystemsSecure Multiparty ComputationSpeaker AnonymizationSpeech RecognitionStalkerwareSteganographySurveillancewareCertificatesCryptographyData PrivacyDifferential PrivacyHTTPSMachine LearningMachine Learning + Security and PrivacyOblivious RAMPrivacySecuritySide-Channel ThreatsWeb Security

Type

- Any -ConferenceJournalWorkshopTechnical ReportPre-print

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2025

• Deep Learning with Plausible Deniability [PDF (OpenReview)]
  In Neural Information Processing Systems (2025)
  Wenxuan Bao, Shan Jin, Hadi Abdullah, Anderson C. A. Nascimento, Vincent Bindschaedler, Yiwei Cai
• Inference Attacks for X-Vector Speaker Anonymization [PDF]
  In IEEE Security and Privacy Workshops (2025)
  Luke A. Bauer, Wenxuan Bao, Malvika Jadhav, Vincent Bindschaedler
• Provably Secure Covert Messaging Using Image-based Diffusion Processes [PDF]
  In IEEE Conference on Secure and Trustworthy Machine Learning (2025)
  Luke A. Bauer, Wenxuan Bao, Vincent Bindschaedler

2024

• R+R: Towards Reliable and Generalizable Differentially Private Machine Learning [PDF (Extended Version)]
  In Annual Computer Security Applications Conference (2024)
  Wenxuan Bao, Vincent Bindschaedler
• Self-Supervised Fine-Tuning of Automatic Speech Recognition Systems against Signal Processing Attacks [PDF (ACM DL)]
  In ACM Asia Conference on Computer and Communications Security (2024)
  Oshan Jayawardena, Dilmi Caldera, Sandani Jayawardena, Avishka Sandeepa, Vincent Bindschaedler, Subodha Charles
• Leveraging Generative Models for Covert Messaging: Challenges and Tradeoffs for "Dead-Drop" Deployments [PDF]
  In ACM Conference on Data and Application Security and Privacy (2024)
  Luke A. Bauer, James K. Howes IV, Sam A. Markelon, Vincent Bindschaedler, Thomas Shrimpton

2023

• DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning [PDF]
  In Neural Information Processing Systems (2023)
  Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B G, Vincent Bindschaedler
• SoK: Memorization in General-Purpose Large Language Models [PDF]
  In arXiv preprint (2023)
  Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West
• EMI-LiDAR: Uncovering Vulnerabilities of LiDAR Sensors in Autonomous Driving Setting using Electromagnetic Interference [PDF (External Link)]
  In ACM Conference on Security and Privacy in Wireless and Mobile Networks (2023)
  Sri Hrushikesh Varma Bhupathiraju, Jennifer Sheldon, Luke A. Bauer, Vincent Bindschaedler, Takeshi Sugawara, Sara Rampazzi

2022

• Enhanced Membership Inference Attacks against Machine Learning Models [PDF]
  In ACM SIGSAC Conference on Computer and Communications Security (2022)
  Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri

You can also browse my publications on:

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