Saved in:
| Main Authors: | Wang, Zihao, Zhu, Rui, Zhou, Dongruo, Zhang, Zhikun, Mitchell, John, Tang, Haixu, Wang, XiaoFeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.02571 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
by: Zhu, Rui, et al.
Published: (2022)
by: Zhu, Rui, et al.
Published: (2022)
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
by: Chen, Xiaoyi, et al.
Published: (2023)
by: Chen, Xiaoyi, et al.
Published: (2023)
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training
by: Jin, Huitong, et al.
Published: (2024)
by: Jin, Huitong, et al.
Published: (2024)
PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning
by: Chen, Xiaoyi, et al.
Published: (2026)
by: Chen, Xiaoyi, et al.
Published: (2026)
LLM-Enhanced Software Patch Localization
by: Yu, Jinhong, et al.
Published: (2024)
by: Yu, Jinhong, et al.
Published: (2024)
IndirectAD: Practical Data Poisoning Attacks against Recommender Systems for Item Promotion
by: Wang, Zihao, et al.
Published: (2025)
by: Wang, Zihao, et al.
Published: (2025)
Rethinking Side-Channel Analysis: Automated Discovery and Analysis of Side-Channel Leakage with LLM-Assisted Agents
by: Xu, Zhen, et al.
Published: (2026)
by: Xu, Zhen, et al.
Published: (2026)
LocalAlign: Enabling Generalizable Prompt Injection Defense via Generation of Near-Target Adversarial Examples for Alignment Training
by: Gong, Yuyang, et al.
Published: (2026)
by: Gong, Yuyang, et al.
Published: (2026)
Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition
by: Yao, Rujing, et al.
Published: (2026)
by: Yao, Rujing, et al.
Published: (2026)
Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX
by: Wang, Wenhao, et al.
Published: (2017)
by: Wang, Wenhao, et al.
Published: (2017)
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
by: Wang, Ruhan, et al.
Published: (2025)
by: Wang, Ruhan, et al.
Published: (2025)
InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training
by: Luo, Zihao, et al.
Published: (2025)
by: Luo, Zihao, et al.
Published: (2025)
How to Provably Improve Return Conditioned Supervised Learning?
by: Liu, Zhishuai, et al.
Published: (2025)
by: Liu, Zhishuai, et al.
Published: (2025)
DP-MGTD: Privacy-Preserving Machine-Generated Text Detection via Adaptive Differentially Private Entity Sanitization
by: Wang, Lionel Z., et al.
Published: (2026)
by: Wang, Lionel Z., et al.
Published: (2026)
Provable Zero-Shot Generalization in Offline Reinforcement Learning
by: Wang, Zhiyong, et al.
Published: (2025)
by: Wang, Zhiyong, et al.
Published: (2025)
Characterizing Trust Boundary Vulnerabilities in TEE Containers: An Empirical Study
by: Liu, Weijie, et al.
Published: (2025)
by: Liu, Weijie, et al.
Published: (2025)
Differentially Private Online Federated Learning with Correlated Noise
by: Zhang, Jiaojiao, et al.
Published: (2024)
by: Zhang, Jiaojiao, et al.
Published: (2024)
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs
by: Fan, Yongming, et al.
Published: (2025)
by: Fan, Yongming, et al.
Published: (2025)
Pre-training Differentially Private Models with Limited Public Data
by: Bu, Zhiqi, et al.
Published: (2024)
by: Bu, Zhiqi, et al.
Published: (2024)
Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations
by: Zuo, Bowen, et al.
Published: (2026)
by: Zuo, Bowen, et al.
Published: (2026)
Locally Differentially Private Online Federated Learning With Correlated Noise
by: Zhang, Jiaojiao, et al.
Published: (2024)
by: Zhang, Jiaojiao, et al.
Published: (2024)
Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam
by: Tang, Siyuan, et al.
Published: (2022)
by: Tang, Siyuan, et al.
Published: (2022)
Misrouter: Exploiting Routing Mechanisms for Input-Only Attacks on Mixture-of-Experts LLMs
by: Fei, Zekun, et al.
Published: (2026)
by: Fei, Zekun, et al.
Published: (2026)
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
by: Li, Shangzhe, et al.
Published: (2025)
by: Li, Shangzhe, et al.
Published: (2025)
Correlated Noise Mechanisms for Differentially Private Learning
by: Pillutla, Krishna, et al.
Published: (2025)
by: Pillutla, Krishna, et al.
Published: (2025)
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
by: Wang, Zhiyong, et al.
Published: (2024)
by: Wang, Zhiyong, et al.
Published: (2024)
Hey, That's My Data! Token-Only Dataset Inference in Large Language Models
by: Xiong, Chen, et al.
Published: (2025)
by: Xiong, Chen, et al.
Published: (2025)
Understanding the Security Risks of Decentralized Exchanges by Uncovering Unfair Trades in the Wild
by: Chen, Jiaqi, et al.
Published: (2024)
by: Chen, Jiaqi, et al.
Published: (2024)
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach
by: Hoseinpour, Mohammad, et al.
Published: (2023)
by: Hoseinpour, Mohammad, et al.
Published: (2023)
Can LLMs Predict Polymer Physics Just by Reading Synthesis and Processing Prose?
by: Liu, Yuchu, et al.
Published: (2026)
by: Liu, Yuchu, et al.
Published: (2026)
Bilateral Differentially Private Vertical Federated Boosted Decision Trees
by: Zhang, Bokang, et al.
Published: (2025)
by: Zhang, Bokang, et al.
Published: (2025)
Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
by: Lin, Zilong, et al.
Published: (2024)
by: Lin, Zilong, et al.
Published: (2024)
Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes
by: Lin, Zilong, et al.
Published: (2025)
by: Lin, Zilong, et al.
Published: (2025)
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
by: Choquette-Choo, Christopher A., et al.
Published: (2023)
by: Choquette-Choo, Christopher A., et al.
Published: (2023)
V2V Energy Trading in Multiplayer Bayesian Games Considering Mixture of Traffic Flow and Power Flow
by: XiaoFeng Huang, et al.
Published: (2025)
by: XiaoFeng Huang, et al.
Published: (2025)
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
by: Song, Linke, et al.
Published: (2024)
by: Song, Linke, et al.
Published: (2024)
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024)
by: Wang, Ruhan, et al.
Published: (2024)
Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
by: Zhao, Runze, et al.
Published: (2025)
by: Zhao, Runze, et al.
Published: (2025)
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments
by: Takimoto, Yusuke, et al.
Published: (2024)
by: Takimoto, Yusuke, et al.
Published: (2024)
Variation-Bounded Loss for Noise-Tolerant Learning
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
Similar Items
-
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
by: Zhu, Rui, et al.
Published: (2022) -
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
by: Chen, Xiaoyi, et al.
Published: (2023) -
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training
by: Jin, Huitong, et al.
Published: (2024) -
PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning
by: Chen, Xiaoyi, et al.
Published: (2026) -
LLM-Enhanced Software Patch Localization
by: Yu, Jinhong, et al.
Published: (2024)