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Biasasker: Measuring the bias in conversational ai system
Powered by advanced Artificial Intelligence (AI) techniques, conversational AI systems, such
as ChatGPT, and digital assistants like Siri, have been widely deployed in daily life …
as ChatGPT, and digital assistants like Siri, have been widely deployed in daily life …
SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers
Despite their remarkable performance the explainability of Vision Transformers (ViTs)
remains a challenge. While forward attention-based token attribution techniques have …
remains a challenge. While forward attention-based token attribution techniques have …
Validating multimedia content moderation software via semantic fusion
The exponential growth of social media platforms, such as Facebook, Instagram, Youtube,
and TikTok, has revolutionized communication and content publication in human society …
and TikTok, has revolutionized communication and content publication in human society …
Neuron Sensitivity-Guided Test Case Selection
Deep neural networks (DNNs) have been widely deployed in software to address various
tasks (eg, autonomous driving, medical diagnosis). However, they can also produce …
tasks (eg, autonomous driving, medical diagnosis). However, they can also produce …
Exploiting pre-trained models and low-frequency preference for cost-effective transfer-based attack
The transferability of adversarial examples enables practical transfer-based attacks.
However, existing theoretical analysis cannot effectively reveal what factors contribute to …
However, existing theoretical analysis cannot effectively reveal what factors contribute to …
Adversarial example soups: averaging multiple adversarial examples improves transferability without increasing additional generation time
B Yang, H Zhang, C Li, J Wang - arxiv preprint arxiv:2402.18370, 2024 - arxiv.org
For transfer-based attacks, the adversarial examples are crafted on the surrogate model,
which can be implemented to mislead the target model effectively. The conventional method …
which can be implemented to mislead the target model effectively. The conventional method …