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20222026
most citedWild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

22 citations · 37 across the 16 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CR2024

Data Free Backdoor Attacks

Bochuan Cao, Jinyuan Jia, Chuxuan Hu +5

Backdoor attacks aim to inject a backdoor into a classifier such that it predicts any input with an attacker-chosen backdoor trigger as an attacker-chosen target class. Existing ba…

cs.CV2024

AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models

Yaopei Zeng, Yuanpu Cao, Bochuan Cao +3

Recent advances in diffusion models have significantly enhanced the quality of image synthesis, yet they have also introduced serious safety concerns, particularly the generation o…

cs.CL2024★ 1 cited

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization

Yuanpu Cao, Tianrong Zhang, Bochuan Cao +4

Researchers have been studying approaches to steer the behavior of Large Language Models (LLMs) and build personalized LLMs tailored for various applications. While fine-tuning see…

cs.CR2024★ 1 cited

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models

Changjiang Li, Ren Pang, Bochuan Cao +4

Thanks to their remarkable denoising capabilities, diffusion models are increasingly being employed as defensive tools to reinforce the security of other models, notably in purifyi…

cs.LG2024

WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response

Tianrong Zhang, Bochuan Cao, Yuanpu Cao +3

The recent breakthrough in large language models (LLMs) such as ChatGPT has revolutionized production processes at an unprecedented pace. Alongside this progress also comes mountin…

cs.CL2024★ 4 cited

JoPA:Explaining Large Language Model's Generation via Joint Prompt Attribution

Yurui Chang, Bochuan Cao, Yujia Wang +2

Large Language Models (LLMs) have demonstrated impressive performances in complex text generation tasks. However, the contribution of the input prompt to the generated content stil…