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20242026
most citedReinforcement Learning Enhanced LLMs: A Survey

7 citations · 11 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.CR2026

DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems

Haoran Ou, Kangjie Chen, Gelei Deng +4

Fact-checking systems with search-enabled large language models (LLMs) have shown strong potential for verifying claims by dynamically retrieving external evidence. However, the ro…

cs.CR2025

SafeGuider: Robust and Practical Content Safety Control for Text-to-Image Models

Peigui Qi, Kunsheng Tang, Wenbo Zhou +5

Text-to-image models have shown remarkable capabilities in generating high-quality images from natural language descriptions. However, these models are highly vulnerable to adversa…

cs.CR2025

PoseGuard: Pose-Guided Generation with Safety Guardrails

Kongxin Wang, Jie Zhang, Peigui Qi +3

Pose-guided video generation has become a powerful tool in creative industries, exemplified by frameworks like Animate Anyone. However, conditioning generation on specific poses in…

cs.CR2025

BURN: Backdoor Unlearning via Adversarial Boundary Analysis

Yanghao Su, Jie Zhang, Yiming Li +6

Backdoor unlearning aims to remove backdoor-related information while preserving the model's original functionality. However, existing unlearning methods mainly focus on recovering…

cs.CR2025★ 1 cited

IRCopilot: Automated Incident Response with Large Language Models

Xihuan Lin, Jie Zhang, Gelei Deng +4

Incident response plays a pivotal role in mitigating the impact of cyber attacks. In recent years, the intensity and complexity of global cyber threats have grown significantly, ma…

cs.CR2024

CamLoPA: A Hidden Wireless Camera Localization Framework via Signal Propagation Path Analysis

Xiang Zhang, Jie Zhang, Zehua Ma +9

Hidden wireless cameras pose significant privacy threats, necessitating effective detection and localization methods. However, existing solutions often require spacious activity ar…