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As memory technologies continue to shrink and memory error rates increase, the demand for stronger reliability becomes increasingly critical. Fine-grain memory replication has emerged as an appealing approach to improving memory fault…

Hardware Architecture · Computer Science 2025-02-25 Haris Volos , Yiannakis Sazeides

We study the non-stationary stochastic multiarmed bandit (MAB) problem and propose two generic algorithms, namely, the limited memory deterministic sequencing of exploration and exploitation (LM-DSEE) and the Sliding-Window Upper Confidence…

Machine Learning · Statistics 2018-04-25 Lai Wei , Vaibhav Srivastava

We address the problem of efficient verification of multi-threaded programs running over Total Store Order (TSO) memory model. It has been shown that even with finite data domain programs, the complexity of control state reachability under…

Logic in Computer Science · Computer Science 2016-06-20 Chinmay Narayan , Subodh Sharma , S. Arun-Kumar

We describe verification techniques for embedded memory systems using efficient memory modeling (EMM), without explicitly modeling each memory bit. We extend our previously proposed approach of EMM in Bounded Model Checking (BMC) for a…

Logic in Computer Science · Computer Science 2011-11-09 Malay K. Ganai , Aarti Gupta , Pranav Ashar

Remote memory access (RMA) is an emerging high-performance programming model that uses RDMA hardware directly. Yet, accessing remote memories cannot invoke activities at the target which complicates implementation and limits performance of…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-20 Maciej Besta , Torsten Hoefler

The widespread use of publicly available datasets for training machine learning models raises significant concerns about data misuse. Availability attacks have emerged as a means for data owners to safeguard their data by designing…

Machine Learning · Computer Science 2025-03-11 Yu Zhe , Jun Sakuma

Integer overflows in commodity software are a main source for software bugs, which can result in exploitable memory corruption vulnerabilities and may eventually contribute to powerful software based exploits, i.e., code reuse attacks…

Cryptography and Security · Computer Science 2017-11-06 Paul Muntean , Jens Grossklags , Claudia Eckert

Content-Addressable Memory (CAM) is a powerful abstraction for building memory caches, routing tables and hazard detection logic. Without a native CAM structure available on FPGA devices, their functionality must be emulated using the…

Hardware Architecture · Computer Science 2020-04-24 Thomas B. Preußer , Monica Chiosa , Alexander Weiss , Gustavo Alonso

Memory safety is a key security property that stops memory corruption vulnerabilities. Existing sanitizers enforce checks and catch such bugs during development and testing. However, they either provide partial memory safety or have…

Cryptography and Security · Computer Science 2022-02-09 Yuan Li , Wende Tan , Zhizheng Lv , Songtao Yang , Mathias Payer , Ying Liu , Chao Zhang

Non-orthogonal multiple access (NOMA) is a promising solution for secure transmission under massive access. However, in addition to the uncertain channel state information (CSI) of the eavesdroppers due to their passive nature, the CSI of…

Information Theory · Computer Science 2020-07-28 Zongze Li , Minghua Xia , Miaowen Wen , Yik-Chung Wu

In continual learning, where task data arrives in a sequence, fine-tuning on later tasks will often lead to performance degradation on earlier tasks. This is especially pronounced when these tasks come from diverse domains. In this setting,…

Machine Learning · Computer Science 2025-01-13 Anat Kleiman , Gintare Karolina Dziugaite , Jonathan Frankle , Sham Kakade , Mansheej Paul

Sparse Code Multiple Access (SCMA) is an enabling code-domain non-orthogonal multiple access (NOMA)scheme for massive connectivity and ultra low-latency in future machine-type communication networks. As an evolved variant of code division…

Information Theory · Computer Science 2021-05-17 Saumya Chaturvedi , Zilong Liu , Vivek Ashok Bohara , Anand Srivastava , Pei Xiao

The growing memory demands of modern applications have driven the adoption of far memory technologies in data centers to provide cost-effective, high-capacity memory solutions. However, far memory presents new performance challenges because…

Hardware Architecture · Computer Science 2024-04-18 Luming Wang , Xu Zhang , Songyue Wang , Zhuolun Jiang , Tianyue Lu , Mingyu Chen , Siwei Luo , Keji Huang

Memory safety in complex applications implemented in unsafe programming languages such as C/C++ is still an unresolved problem in practice. Many different types of defenses have been proposed in the past to mitigate this problem. The most…

Cryptography and Security · Computer Science 2022-03-09 Lukas Bernhard , Michael Rodler , Thorsten Holz , Lucas Davi

How is the limited capacity of working memory efficiently used to support human linguistic behaviors? In this paper, we propose Strategic Resource Allocation (SRA) as an efficiency principle for memory encoding in sentence processing. The…

Computation and Language · Computer Science 2025-09-01 Weijie Xu , Richard Futrell

The growing gap between processor and memory speeds results in complex memory hierarchies as processors evolve to mitigate such divergence by taking advantage of the locality of reference. In this direction, the BSC performance analysis…

Performance · Computer Science 2020-06-01 Harald Servat , Jesús Labarta , Hans-Christian Hoppe , Judit Giménez , Antonio J. Peña

Although Large Language Models (LLMs) have demonstrated impressive capabilities across a wide range of tasks, growing concerns have emerged over the misuse of sensitive, copyrighted, or harmful data during training. To address these…

Cryptography and Security · Computer Science 2025-06-03 Jie Ren , Zhenwei Dai , Xianfeng Tang , Yue Xing , Shenglai Zeng , Hui Liu , Jingying Zeng , Qiankun Peng , Samarth Varshney , Suhang Wang , Qi He , Charu C. Aggarwal , Hui Liu

State Space Models (SSMs) such as Mamba achieve linear-time sequence processing through input-dependent recurrence, but this mechanism introduces a critical safety vulnerability. We show that the spectral radius rho(A-bar) of the…

Machine Learning · Computer Science 2026-03-16 Davi Bonetto

WebAssembly is an instruction set architecture and binary format standard, designed for secure execution by an interpreter. Previous work has shown that WebAssembly is vulnerable to buffer overflow due to the lack of effective protection…

Cryptography and Security · Computer Science 2024-10-24 Quentin Michaud , Yohan Pipereau , Olivier Levillain , Dhouha Ayed

RowHammer is a major read disturbance mechanism in DRAM where repeatedly accessing (hammering) a row of DRAM cells (DRAM row) induces bitflips in other physically nearby DRAM rows. RowHammer solutions perform preventive actions (e.g.,…