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Found 6 papers, 1 papers with code
Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors
We propose and analyze an adaptive adversary that can retrain a Trojaned DNN and is also aware of SOTA output-based Trojaned model detectors.
LDL: A Defense for Label-Based Membership Inference Attacks
Overfitted models have been shown to be susceptible to query-based attacks such as membership inference attacks (MIAs).
Game of Trojans: A Submodular Byzantine Approach
The results show that (i) with Submodular Trojan algorithm, the adversary needs to embed a Trojan trigger into a very small fraction of samples to achieve high accuracy on both Trojan and clean samples, and (ii) the MM Trojan algorithm yields a trained Trojan model that evades detection with probability 1.
A Natural Language Processing Approach for Instruction Set Architecture Identification
Empirical evaluations show that using our byte-level features in ML-based ISA identification results in an 8% higher accuracy than the state-of-the-art features based on byte-histograms and byte pattern signatures.
A Game-Theoretic Framework for Controlled Islanding in the Presence of Adversaries
In this paper, we study the controlled islanding problem of a power system under disturbances introduced by a malicious adversary.
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats
Our game model has imperfect information as the players do not have information about the actions of the opponent.
Computer Science and Game Theory Cryptography and Security
