For this #ThrowbackThursday, we will look at #ACSAC2023's second Machine Learning Security session. The links in this thread will lead you to the paper pdfs and the slide decks, so be sure to check them out! 1/4
The first paper in this session was Quiring et al.'s "On the Detection of Image-Scaling Attacks in #MachineLearning", which presents novel detection methods significantly outperforming previous work. (https://www.acsac.org/2023/program/final/s55.html) 2/4
#CyberSecurity #AI
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Second up was Weeks et al.'s "A First Look at Toxicity Injection Attacks on Open-domain Chatbots", exploring how easy it is to inject toxicity into chatbots after deployment. (https://www.acsac.org/2023/program/final/s155.html) 3/4
#Chatbots #AI #DataPoisoning
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Last in the session was Park et al.'s "Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in #DeepNeuralNetworks", identifying stolen datasets even with different model architectures. (https://www.acsac.org/2023/program/final/s321.html) 4/4
#DNN #AI
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