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- A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment139
This paper introduces the concept of "full-stack" safety to systematically consider safety issues throughout the entire process of LLM training, deployment, and eventual commercialization, and represents the first safety survey to encompass the entire lifecycle of LLMs.
- A Survey on Trustworthy LLM Agents: Threats and Countermeasures137
The TrustAgent framework is proposed, a comprehensive study on the trustworthiness of agents, characterized by modular taxonomy, multi-dimensional connotations, and technical implementation, aiming to provide guidance for future endeavors.
- SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models82
SafeGen is presented, a framework to mitigate sexual content generation by text-to-image models in a text-agnostic manner that outperforms eight state-of-the-art baseline methods and achieves 99.4% sexual content removal performance.
- SafeEar: Content Privacy-Preserving Audio Deepfake Detection70
SafeEar is proposed, a novel framework that aims to detect deepfake audios without relying on accessing the speech content within by devise a neural audio codec into a novel decoupling model that well separates the semantic and acoustic information from audio samples, and only use the acoustic information for deepfake detection.
- Attack Vulnerability of Network Controllability62
This paper systematically investigates the attack vulnerability of network controllability for the canonical model networks as well as the real-world networks subject to attacks on nodes and edges, and finds that the edge degree is not a good quantity to measure the importance of an edge in terms of network control.
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- EarArray: Defending against DolphinAttack via Acoustic Attenuation53
EarArray is a lightweight method that can not only detect inaudible voice commands but also identify the direction of attackers without requiring any extra hardware or hardware modification.
- EV-Loc: integrating electronic and visual signals for accurate localization49
In EV-Loc, a new localization technique is proposed that uses visual signals to help improve the accuracy of wireless localization and fully leverages visual signals' high accuracy and electronic signals' pervasiveness.
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- Teaching and Learning Computational Thinking Through Game-Based Learning: A Systematic Review43
Findings suggested that GBL has positive effects on CT, but has non-significant effects on some CT elements because of limited time to learn these elements and students’ preferences for using CT elements.
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- Legilimens: Practical and Unified Content Moderation for Large Language Model Services23
It is revealed for the first time that effective and efficient content moderation can be achieved by extracting conceptual features from chat-oriented LLMs, despite their initial fine-tuning for conversation rather than content moderation.
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- SurvSurf: human retrieval on large surveillance video data22
SurvSurf is designed, a human retrieval system on large surveillance video data that exploits characteristics of these data and big data processing tools and uses the MapReduce framework to process M-clips in parallel for human detection and appearance/motion feature extraction.
- Plant-assisted rhizoremediation of decabromodiphenyl ether for e-waste recycling area soil of Taizhou, China22
A possibility of phytoremediation for BDE-209-polluted soils by successive cultivation of rice followed by ryegrass coupling with suitable water management is illustrated, possibly through dissipation pathway of microbial reductive debromination and subsequent aerobic oxidative cleavage of benzene ring.
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- Enrollment-Stage Backdoor Attacks on Speaker Recognition Systems via Adversarial Ultrasound17
Tuner is proposed, a new type of backdoor attack against the enrollment stage of SRS via adversarial ultrasound modulation, which is inaudible, synchronization-free, content-independent, and black-box, and can successfully bypass SRSs while remaining effective to various speakers, speech content, etc.
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- The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework15
PAPI is constructed, the largest dataset for studying private attribute profiling in personal images, comprising 2,510 images from 251 individuals with 3,012 annotated privacy attributes and HolmesEye is proposed, a hybrid agentic framework that combines VLMs and LLMs to enhance privacy inference.
- Optimizing the controllability of arbitrary networks with genetic algorithm14
An efficient genetic algorithm oriented optimization tool to optimize the controllability of arbitrary networks consisting of both state nodes and control nodes under Popov–Belevitch–Hautus rank condition is developed.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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