Tag: Robustness
All the articles with the tag "Robustness".
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CB-cPIR: Code-Based Computational Private Information Retrieval
CB-cPIR introduces a code-based single-server computational private information retrieval scheme that enhances security against subquery attacks by using high-weight secret vectors and dual queries, achieving lower communication and computational costs compared to lattice-based schemes like XPIR and SimplePIR.
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A Comprehensive Analysis of Adversarial Attacks against Spam Filters
This paper conducts a comprehensive analysis of adversarial attacks on deep learning-based spam filters, revealing significant vulnerabilities across character, word, sentence, and AI-generated paragraph levels using novel scoring functions like spam weights, with distilBERT showing relative resilience at paragraph-level attacks.
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Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation
本文提出Mixup Model Merge (M³) 方法,通过在参数空间中随机线性插值并利用Beta分布采样贡献比例,显著提升了大语言模型合并的性能、分布外鲁棒性和对抗鲁棒性。
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ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training
ZeroTuning提出了一种无需训练的方法,通过调整大型语言模型初始token的注意力分布,在文本分类、问答和多轮对话任务中显著提升性能,同时展现出对资源限制和长上下文的鲁棒性。
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Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance
本文通过引入对抗性提示干扰大型语言模型的潜在语言一致性,研究其对翻译和地理文化任务性能的影响,发现一致性并非总是必要的,因为模型能在最终层适应语言变化。