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Found 6 papers, 3 papers with code
A little goes a long way: Improving toxic language classification despite data scarcity
Detection of some types of toxic language is hampered by extreme scarcity of labeled training data.
Extraction of Complex DNN Models: Real Threat or Boogeyman?
However, model extraction attacks can steal the functionality of ML models using the information leaked to clients through the results returned via the API.
Making targeted black-box evasion attacks effective and efficient
We investigate how an adversary can optimally use its query budget for targeted evasion attacks against deep neural networks in a black-box setting.
All You Need is "Love": Evading Hate-speech Detection
With the spread of social networks and their unfortunate use for hate speech, automatic detection of the latter has become a pressing problem.
Stay On-Topic: Generating Context-specific Fake Restaurant Reviews
Automatically generated fake restaurant reviews are a threat to online review systems.
PRADA: Protecting against DNN Model Stealing Attacks
Access to the model can be restricted to be only via well-defined prediction APIs.
Cryptography and Security
