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Found 8 papers, 2 papers with code
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Companies have begun to offer Embedding as a Service (EaaS) based on these LLMs, which can benefit various natural language processing (NLP) tasks for customers.
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
In this work, we found that the backdoor attack can construct an artificial bias similar to the model bias derived in standard training.
Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias
Backdoor attack is a new AI security risk that has emerged in recent years.
An Experimental Study of Semantic Continuity for Deep Learning Models
Deep learning models suffer from the problem of semantic discontinuity: small perturbations in the input space tend to cause semantic-level interference to the model output.
Adaptive Adversarial Logits Pairing
Specifically, AALP consists of an adaptive feature optimization module with Guided Dropout to systematically pursue fewer high-contribution features, and an adaptive sample weighting module by setting sample-specific training weights to balance between logits pairing loss and classification loss.
Butterfly Detection and Classification Based on Integrated YOLO Algorithm
Insects are abundant species on the earth, and the task of identification and identification of insects is complex and arduous.
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human.
Attention, Please! Adversarial Defense via Activation Rectification and Preservation
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change.
