In an example embodiment, a method for protecting against timestamp-based inference attacks in a computer system is provided. A timestamp corresponding to a time when confidential data is submitted to the computer system by a user is recorded. A modification value based on a frequency of ...
In this work, we first highlight a critical safety gap, demonstrating that alignment achieved solely through safety training may be insufficient against jailbreak attacks. To address this vulnerability, we propose Immune, an inference-time defense framework that leverages a safe reward model during ...
SYSTEM AND METHOD TO ENABLE PRIVACY-PRESERVING REAL TIME SERVICES AGAINST INFERENCE ATTACKSOne embodiment provides a method comprising receiving general private data identifying at least one type of privacy-sensitive data to protect, collecting at least one type of real-time data, and determining an ...
SYSTEM AND METHOD TO ENABLE PRIVACY-PRESERVING REAL TIME SERVICES AGAINST INFERENCE ATTACKSOne embodiment provides a method comprising receiving general private data identifying at least one type of privacy-sensitive data to protect, collecting at least one type of real-time data, and determining an ...
System and method to enable privacy-preserving real time services against inference attacksOne embodiment provides a method comprising receiving general private data identifying at least one type of privacy-sensitive data to protect, collecting at least one type of real-time data, and determining an ...
SYSTEM AND METHOD TO ENABLE PRIVACY-PRESERVING REAL TIME SERVICES AGAINST INFERENCE ATTACKSOne embodiment provides a method comprising receiving general private data identifying at least one type of privacy-sensitive data to protect, collecting at least one type of real-time data, and determining an ...
Randomization as Mitigation of Directed Timing Inference Based Attacks on Time-Triggered Real-Time Systems with Task Replicationdoi:10.4230/LITES.7.1.1Kristin KrügerNils VremanRichard PatesMartina MaggioMarcus VlpGerhard Fohler
SYSTEM AND METHOD TO ENABLE PRIVACY-PRESERVING REAL TIME SERVICES AGAINST INFERENCE ATTACKSOne embodiment provides a method comprising receiving general private data identifying at least one type of privacy-sensitive data to protect, collecting at least one type of real-time data, and determining an ...
SYSTEM AND METHOD TO ENABLE PRIVACY-PRESERVING REAL TIME SERVICES AGAINST INFERENCE ATTACKSOne embodiment provides a method comprising receiving general private data identifying at least one type of privacy-sensitive data to protect, collecting at least one type of real-time data, and determining an ...
Thus, the defense systems based on fixed sets of rules will easily be subverted by such unexpected, unknown attacks. Learning-based anomaly detection may potentially prevent new unknown zero-day attacks by leveraging the capability of machine learning (ML) to learn the intricate true nature of ...