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Found 7 papers, 1 papers with code
A Holistic Indicator of Polarization to Measure Online Sexism
This indicator is important for policymakers and moderators of online communities (e. g., subreddits) and computational social scientists, either to revise moderation strategies based on the degree of sexism or to match and compare the temporal sexism across different platforms and communities with real-time events and infer social scientific insights.
Moral Uncertainty and the Problem of Fanaticism
While there is universal agreement that agents ought to act ethically, there is no agreement as to what constitutes ethical behaviour.
AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics
The introduction of ChatGPT and the subsequent improvement of Large Language Models (LLMs) have prompted more and more individuals to turn to the use of ChatBots, both for information and assistance with decision-making.
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection
To deal with this, stateful defenses have been proposed to detect query attacks and prevent the generation of adversarial examples by monitoring and analyzing the sequence of queries received by the system.
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
To examine these claims, we study for the first time the effectiveness of several recent MTDs for adversarial ML attacks applied to the malware detection domain.
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection
StratDef dynamically and strategically chooses the best models to increase the uncertainty for the attacker while minimizing critical aspects in the adversarial ML domain, like attack transferability.
Automating the GDPR Compliance Assessment for Cross-border Personal Data Transfers in Android Applications
In this paper, we propose a fully automated method to assess the compliance of mobile apps with the GDPR requirements for cross-border personal data transfers.
