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Found 6 papers, 1 papers with code
GenFighter: A Generative and Evolutive Textual Attack Removal
Adversarial attacks pose significant challenges to deep neural networks (DNNs) such as Transformer models in natural language processing (NLP).
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models
Tabular data typically contains private and important information; thus, precautions must be taken before they are shared with others.
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks
To this date, CAPTCHAs have served as the first line of defense preventing unauthorized access by (malicious) bots to web-based services, while at the same time maintaining a trouble-free experience for human visitors.
Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System
In order to explain this observation, we extend the earlier RL model to a game model and show that there exists defender policies that can be robust against any adversarial policy.
Enhancing Cohesion and Coherence of Fake Text to Improve Believability for Deceiving Cyber Attackers
We can generate fake text documents by obscuring the salient information in legit text documents.
Data Synthesis based on Generative Adversarial Networks
We call this property model compatibility.
Databases Cryptography and Security H.3.4; I.2; K.6.5
