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Spatial memory safety violation is still a major issue for C programs. Checked-C is a safe dialect of C and extends it with Checked pointer types and annotations that guarantee spatial memory safety in a backward-compatible manner, allowing…

Cryptography and Security · Computer Science 2023-02-06 Liyi Li , Arunkumar Bhattar , Le Chang , Mingwei Zhu , Aravind Machiry

Program safety (i.e., absence of undefined behaviors) is critical for correct operation of computer systems. It is usually verified at the source level (e.g., by separation logics) and preserved to the target by verified compilers (e.g.,…

Programming Languages · Computer Science 2025-10-14 Jinhua Wu , Yuting Wang , Liukun Yu , Linglong Meng

WebAssembly is a new binary instruction format that allows targeted compiled code written in high-level languages to be executed with near-native speed by the browser's JavaScript engine. However, given that WebAssembly binaries can be…

Cryptography and Security · Computer Science 2022-04-28 Tiago Brito , Pedro Lopes , Nuno Santos , José Fragoso Santos

Large Language Models (LLMs) have been adopted and deployed worldwide for a broad variety of applications. However, ensuring their safe use remains a significant challenge. Preference training and safety measures often overfit to harms…

Computation and Language · Computer Science 2024-10-15 Aakanksha , Arash Ahmadian , Seraphina Goldfarb-Tarrant , Beyza Ermis , Marzieh Fadaee , Sara Hooker

Containerization approaches based on namespaces offered by the Linux kernel have seen an increasing popularity in the HPC community both as a means to isolate applications and as a format to package and distribute them. However, their…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-03 Mohak Chadha , Nils Krueger , Jophin John , Anshul Jindal , Michael Gerndt , Shajulin Benedict

Large Language Models (LLMs) with safe-alignment training are powerful instruments with robust language comprehension capabilities. These models typically undergo meticulous alignment procedures involving human feedback to ensure the…

Machine Learning · Computer Science 2025-09-22 Maithili Joshi , Palash Nandi , Tanmoy Chakraborty

High-throughput sequencing file formats and tools encode coordinate intervals with respect to a reference sequence in at least four distinct, incompatible ways. Integrating data from and moving data between different formats has the…

Genomics · Quantitative Biology 2022-09-15 Charles Thomas Gregory , James S. Blachly

Multimodal large language models (MLLMs) excel in vision-language tasks but also pose significant risks of generating harmful content, particularly through jailbreak attacks. Jailbreak attacks refer to intentional manipulations that bypass…

Cryptography and Security · Computer Science 2025-07-18 Yi Nian , Shenzhe Zhu , Yuehan Qin , Li Li , Ziyi Wang , Chaowei Xiao , Yue Zhao

The widespread adoption and increasing prominence of large language models (LLMs) in global technologies necessitate a rigorous focus on ensuring their safety across a diverse range of linguistic and cultural contexts. The lack of a…

Computation and Language · Computer Science 2025-08-28 Zhiyuan Ning , Tianle Gu , Jiaxin Song , Shixin Hong , Lingyu Li , Huacan Liu , Jie Li , Yixu Wang , Meng Lingyu , Yan Teng , Yingchun Wang

Large Language Models (LLMs) continue to exhibit vulnerabilities despite deliberate safety alignment efforts, posing significant risks to users and society. To safeguard against the risk of policy-violating content, system-level moderation…

Artificial Intelligence · Computer Science 2025-10-27 Jingnan Zheng , Xiangtian Ji , Yijun Lu , Chenhang Cui , Weixiang Zhao , Gelei Deng , Zhenkai Liang , An Zhang , Tat-Seng Chua

Multi-modal Large Language Models (MLLMs) have achieved remarkable performance across a wide range of visual reasoning tasks, yet their vulnerability to safety risks remains a pressing concern. While prior research primarily focuses on…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Ce Zhang , Jinxi He , Junyi He , Katia Sycara , Yaqi Xie

WebAssembly (abbreviated WASM) has emerged as a promising language of the Web and also been used for a wide spectrum of software applications such as mobile applications and desktop applications. These applications, named as WASM…

Software Engineering · Computer Science 2023-01-31 Yixuan Zhang , Shangtong Cao , Haoyu Wang , Zhenpeng Chen , Xiapu Luo , Dongliang Mu , Yun Ma , Gang Huang , Xuanzhe Liu

The robust safety of Vision-Language Large Models (VLLMs) against joint multilingual and multimodal threats remains severely underexplored. Current benchmarks typically isolate these dimensions, being either multilingual but text-only, or…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Enyi Shi , Pengyang Shao , Yanxin Zhang , Chenhang Cui , Jiayi Lyu , Xiaobo Xia , Fei Shen , Tat-Seng Chua

Despite their remarkable capabilities, Large Language Models (LLMs) struggle to effectively leverage historical interaction information in dynamic and complex environments. Memory systems enable LLMs to move beyond stateless interactions by…

Computation and Language · Computer Science 2026-03-03 Jizhan Fang , Xinle Deng , Haoming Xu , Ziyan Jiang , Yuqi Tang , Ziwen Xu , Shumin Deng , Yunzhi Yao , Mengru Wang , Shuofei Qiao , Huajun Chen , Ningyu Zhang

Large language model agents increasingly depend on memory to sustain long horizon interaction, but existing frameworks remain limited. Most expose only a few basic primitives such as encode, retrieve, and delete, while higher order…

Computation and Language · Computer Science 2025-10-24 Yi Wang , Lihai Yang , Boyu Chen , Gongyi Zou , Kerun Xu , Bo Tang , Feiyu Xiong , Siheng Chen , Zhiyu Li

The security concerns surrounding Large Language Models (LLMs) have been extensively explored, yet the safety of Multimodal Large Language Models (MLLMs) remains understudied. In this paper, we observe that Multimodal Large Language Models…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Xin Liu , Yichen Zhu , Jindong Gu , Yunshi Lan , Chao Yang , Yu Qiao

Large language models (LLMs) exhibit severe multilingual safety misalignment: they possess strong safeguards in high-resource languages but remain highly vulnerable to jailbreak attacks in low-resource languages. Current safety alignment…

Machine Learning · Computer Science 2026-05-11 Ruiyang Qin , Qingzhuo Wang , Dongrui Liu , Qiang Li , Zhihua Wei , Wen Shen

We present a flow-sensitive effect system for reachability types that supports explicit memory management, including Rust-style move semantics, in higher-order impure functional languages. Our system refines the existing reachability…

Programming Languages · Computer Science 2025-10-13 Haotian Deng , Siyuan He , Songlin Jia , Yuyan Bao , Tiark Rompf

While memory corruption bugs stemming from the use of unsafe programming languages are an old and well-researched problem, the resulting vulnerabilities still dominate real-world exploitation today. Various mitigations have been proposed to…

Cryptography and Security · Computer Science 2021-08-20 Emanuel Q. Vintila , Philipp Zieris , Julian Horsch

Computer programs written in one language are often required to be ported to other languages to support multiple devices and environments. When programs use language specific APIs (Application Programming Interfaces), it is very challenging…

Software Engineering · Computer Science 2017-04-26 Xiaodong Gu , Hongyu Zhang , Dongmei Zhang , Sunghun Kim