🏢 East China Normal University
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
·2153 words·11 mins·
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Machine Learning
Deep Learning
🏢 East China Normal University
WaveAttack: A new backdoor attack method leveraging asymmetric frequency obfuscation for high stealthiness and effectiveness in Deep Neural Networks.
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
·1926 words·10 mins·
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AI Generated
AI Theory
Robustness
🏢 East China Normal University
Challenging common assumptions, researchers prove that flatter adversarial examples don’t guarantee better transferability and introduce TPA, a theoretically-grounded attack creating more transferable…
Open-Book Neural Algorithmic Reasoning
·1944 words·10 mins·
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AI Generated
Machine Learning
Deep Learning
🏢 East China Normal University
This paper introduces open-book neural algorithmic reasoning, a novel framework that significantly enhances neural reasoning capabilities by allowing networks to access and utilize all training instan…
Harmonizing Visual Text Comprehension and Generation
·2525 words·12 mins·
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AI Generated
Multimodal Learning
Vision-Language Models
🏢 East China Normal University
TextHarmony: a unified multimodal model harmonizes visual text comprehension & generation, achieving improved performance across benchmarks with minimal parameter increase.
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
·2322 words·11 mins·
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Computer Vision
Image Generation
🏢 East China Normal University
This paper theoretically proves the existence and uniqueness of fixed points in DDIM inversion, optimizing the loss function for improved image editing and extending this approach to unsupervised imag…
Cross-model Control: Improving Multiple Large Language Models in One-time Training
·1811 words·9 mins·
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Natural Language Processing
Large Language Models
🏢 East China Normal University
One-time training improves multiple LLMs using a tiny portable model, drastically reducing costs and resource needs for model enhancement.
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
·1826 words·9 mins·
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Natural Language Processing
Vision-Language Models
🏢 East China Normal University
ChatTracker boosts visual tracking by intelligently using a large language model to refine object descriptions, achieving performance on par with state-of-the-art methods.
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences
·1497 words·8 mins·
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AI Theory
Causality
🏢 East China Normal University
S²GCSL: A novel scalable Granger causal structural learning approach efficiently identifies root causes of telecommunication network alarms by leveraging a linear kernel and incorporating expert knowl…