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Bochuan Cao
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2020 – today
- 2024
- [c6]Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu:
Jailbreak Open-Sourced Large Language Models via Enforced Decoding. ACL (1) 2024: 5475-5493 - [c5]Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen:
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. ACL (1) 2024: 10542-10560 - [c4]Yuanpu Cao, Bochuan Cao, Jinghui Chen:
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. NAACL-HLT 2024: 4920-4935 - [c3]Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang:
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. USENIX Security Symposium 2024 - [i12]Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen:
WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response. CoRR abs/2405.14023 (2024) - [i11]Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin:
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution. CoRR abs/2405.20404 (2024) - [i10]Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen:
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. CoRR abs/2406.00045 (2024) - [i9]Guangliang Liu, Haitao Mao, Bochuan Cao, Zhiyu Xue, Kristen Marie Johnson, Jiliang Tang, Rongrong Wang:
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept. CoRR abs/2406.02378 (2024) - [i8]Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang:
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. CoRR abs/2406.09669 (2024) - [i7]Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin:
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models. CoRR abs/2410.21471 (2024) - 2023
- [c2]Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen:
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. NeurIPS 2023 - [i6]Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen:
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. CoRR abs/2309.14348 (2023) - [i5]Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu:
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? CoRR abs/2310.01581 (2023) - [i4]Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen:
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. CoRR abs/2310.19248 (2023) - [i3]Yuanpu Cao, Bochuan Cao, Jinghui Chen:
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. CoRR abs/2312.00027 (2023) - [i2]Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang:
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. CoRR abs/2312.09057 (2023) - 2022
- [c1]Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei Koh, Chelsea Finn:
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time. NeurIPS 2022 - [i1]Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei Koh, Chelsea Finn:
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time. CoRR abs/2211.14238 (2022)
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