Context Switching for Secure Multi-programming of Near-Term Quantum Computers
- URL: http://arxiv.org/abs/2504.07048v3
- Date: Thu, 17 Apr 2025 04:34:36 GMT
- Title: Context Switching for Secure Multi-programming of Near-Term Quantum Computers
- Abstract summary: Crosstalk from concurrent two-qubit CNOT gates poses security risks.<n>We design Zero Knowledge Tampering Attacks (ZKTAs), using which attackers can exploit crosstalk without knowledge of the hardware error profile.<n>We propose QONTEXTS: a context-switching technique that defends against ZKTAs by running programs across multiple contexts.
- Score: 19.420764480790414
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Multi-programming quantum computers improve device utilization and throughput. However, crosstalk from concurrent two-qubit CNOT gates poses security risks, compromising the fidelity and output of co-running victim programs. We design Zero Knowledge Tampering Attacks (ZKTAs), using which attackers can exploit crosstalk without knowledge of the hardware error profile. ZKTAs can alter victim program outputs in 40% of cases on commercial systems. We identify that ZKTAs succeed because the attacker's program consistently runs with the same victim program in a fixed context. To mitigate this, we propose QONTEXTS: a context-switching technique that defends against ZKTAs by running programs across multiple contexts, each handling only a subset of trials. QONTEXTS uses multi-programming with frequent context switching while identifying a unique set of programs for each context. This helps limit only a fraction of execution to ZKTAs. We enhance QONTEXTS with attack detection capabilities that compare the distributions from different contexts against each other to identify noisy contexts executed with ZKTAs. Our evaluations on real IBMQ systems show that QONTEXTS increases program resilience by three orders of magnitude and fidelity by 1.33$\times$ on average. Moreover, QONTEXTS improves throughput by 2$\times$, advancing security in multi-programmed environments.
Related papers
- SABLE: Minimalist Instruction-Level Authenticated Encryption for Constrained Confidential Computing [3.0128599957899858]
We present a design exploration of a RISC-V processor architecture that enables instruction-level authenticated encryption of programs.<n>SABLE is agnostic to the underlying micro-architecture, remaining compatible with the standard RISC-V tool.<n>We implement and evaluate the designs using ASCON-128a on a Xilinx Artix-7 FPGA with the open-source NEORV32 system on chip.
arXiv Detail & Related papers (2026-07-18T11:12:28Z) - Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems Lens [65.53494487819053]
Claw-like AI agents (e.g., OpenClaw) are always-on processes with persistent access to credentials, files, tools, and external services.<n>We adopt a computer-system analogy: treating a Claw-like agent as an agentic computer system whose gateway runtime plays an OS-like mediation role.<n>We develop SafeClawArena, a benchmark of 406 adversarial tasks across four attack surfaces.
arXiv Detail & Related papers (2026-06-29T18:00:45Z) - Detecting Cryptographically Relevant Software Packages with Collaborative LLMs [0.0]
The move towards crypto-agility and post-quantum cryptography (PQC) requires a reliable inventory of cryptographic assets across heterogeneous IT environments.<n>Our research explores the use of large language models (LLMs) as tools for cryptographic asset discovery.<n>To preserve data privacy, the approach operates on-premises without reliance on external servers.
arXiv Detail & Related papers (2026-03-07T13:24:53Z) - SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks [53.97948802255959]
We propose a framework that trains a multi-turn attacker without relying on any existing strategies or external data.<n>Prefilling self-tuning enables usable rollouts by fine-tuning on non-refusal, well-structured, multi-turn adversarial prompts.<n>We anchor harmful intent in multi-turn jailbreaks via an intent-drift-aware reward that combines intent alignment, compliance risk, and level of detail.
arXiv Detail & Related papers (2026-02-06T16:44:57Z) - LPS-Bench: Benchmarking Safety Awareness of Computer-Use Agents in Long-Horizon Planning under Benign and Adversarial Scenarios [51.52395368061729]
We present LPS-Bench, a benchmark that evaluates the planning-time safety awareness of MCP-based CUAs under long-horizon tasks.<n> Experiments reveal substantial deficiencies in existing CUAs' ability to maintain safe behavior.<n>We propose mitigation strategies to improve long-horizon planning safety in MCP-based CUA systems.
arXiv Detail & Related papers (2026-02-03T08:40:24Z) - Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security [12.835224376066769]
We introduce Q-MLLM, a novel architecture that integrates two-level vector quantization to create a discrete bottleneck against adversarial attacks.<n> Experiments demonstrate that Q-MLLM achieves significantly better defense success rate against both jailbreak attacks and toxic image attacks than existing approaches.
arXiv Detail & Related papers (2025-11-20T10:55:19Z) - Training Language Models to Generate Quality Code with Program Analysis Feedback [66.0854002147103]
Code generation with large language models (LLMs) is increasingly adopted in production but fails to ensure code quality.<n>We propose REAL, a reinforcement learning framework that incentivizes LLMs to generate production-quality code.
arXiv Detail & Related papers (2025-05-28T17:57:47Z) - zkFuzz: Foundation and Framework for Effective Fuzzing of Zero-Knowledge Circuits [24.179342690266523]
ZK circuits enable privacy-preserving computations and are central to many cryptographic protocols.
Existing tools overlook several critical behaviors, such as intermediate computations and program aborts.
We present zkFuzz, a novel program mutation-based fuzzing framework for detecting TCCT violations.
arXiv Detail & Related papers (2025-04-16T10:43:48Z) - Automated detection of atomicity violations in large-scale systems [8.31445151968485]
Atomicity violations in interrupt-driven programs pose a significant threat to software reliability in safety-critical systems.<n>We propose CLOVER, a multi-agent framework for detecting atomicity violations in real-world interrupt-driven programs.
arXiv Detail & Related papers (2025-04-01T08:13:29Z) - Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks [82.3753728955968]
We introduce a novel Mixture-of-Experts (MoE)-based SemCom system.
This system comprises a gating network and multiple experts, each specializing in different security challenges.
The gating network adaptively selects suitable experts to counter heterogeneous attacks based on user-defined security requirements.
A case study in vehicular networks demonstrates the efficacy of the MoE-based SemCom system.
arXiv Detail & Related papers (2024-09-24T03:17:51Z) - Compromising Embodied Agents with Contextual Backdoor Attacks [69.71630408822767]
Large language models (LLMs) have transformed the development of embodied intelligence.
This paper uncovers a significant backdoor security threat within this process.
By poisoning just a few contextual demonstrations, attackers can covertly compromise the contextual environment of a black-box LLM.
arXiv Detail & Related papers (2024-08-06T01:20:12Z) - Estimating the Effect of Crosstalk Error on Circuit Fidelity Using Noisy Intermediate-Scale Quantum Devices [0.0]
Crosstalk between parallel instructions can corrupt quantum states and cause incorrect program execution.
We present a necessary analysis of the crosstalk error effect on NISQ devices.
Our results demonstrate the crosstalk error model of three different IBM quantum devices over the experimental week.
arXiv Detail & Related papers (2024-02-10T13:42:14Z) - HasTEE+ : Confidential Cloud Computing and Analytics with Haskell [50.994023665559496]
Confidential computing enables the protection of confidential code and data in a co-tenanted cloud deployment using specialized hardware isolation units called Trusted Execution Environments (TEEs)
TEEs offer low-level C/C++-based toolchains that are susceptible to inherent memory safety vulnerabilities and lack language constructs to monitor explicit and implicit information-flow leaks.
We address the above with HasTEE+, a domain-specific language (cla) embedded in Haskell that enables programming TEEs in a high-level language with strong type-safety.
arXiv Detail & Related papers (2024-01-17T00:56:23Z) - Quantum Secure Protocols for Multiparty Computations [2.9561405287476177]
We present secure multiparty computation (MPC) protocols that can withstand quantum attacks.
We first present the design and analysis of an information-theoretic secure oblivious linear evaluation (OLE), namely $sf qOLE$ in the quantum domain.
We further utilize $sf qOLE$ as a building block to construct a quantum-safe multiparty private set intersection (MPSI) protocol.
arXiv Detail & Related papers (2023-12-26T19:53:29Z) - SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers [50.608828039206365]
We propose SOCI+ which significantly improves the performance of SOCI.
SOCI+ employs a novel (2, 2)-threshold Paillier cryptosystem with fast encryption and decryption as its cryptographic primitive.
Compared with SOCI, our experimental evaluation shows that SOCI+ is up to 5.4 times more efficient in computation and 40% less in communication overhead.
arXiv Detail & Related papers (2023-09-27T05:19:32Z) - Guess & Sketch: Language Model Guided Transpilation [59.02147255276078]
Learned transpilation offers an alternative to manual re-writing and engineering efforts.
Probabilistic neural language models (LMs) produce plausible outputs for every input, but do so at the cost of guaranteed correctness.
Guess & Sketch extracts alignment and confidence information from features of the LM then passes it to a symbolic solver to resolve semantic equivalence.
arXiv Detail & Related papers (2023-09-25T15:42:18Z) - Constraint-based Diversification of JOP Gadgets [4.836505845931204]
This paper introduces Diversity by Construction (DivCon), a constraint-based approach to software diversification.
A key enabler is the use of Large Neighborhood Search (LNS) to generate highly diverse code efficiently.
For security researchers and software engineers, DivCon extends the scope of compiler-based diversification to performance-critical and resource-constrained applications.
arXiv Detail & Related papers (2021-11-18T20:13:07Z) - Shuttle-Exploiting Attacks and Their Defenses in Trapped-Ion Quantum
Computers [5.510992382274774]
This paper presents one such vulnerability in shared TI systems that require shuttle operations for communication among traps.
We propose a random and systematic methodology for adversary program generation.
Our analysis shows shuttle-exploiting attacks can substantially degrade the fidelities of victim programs by 2X to 63X.
arXiv Detail & Related papers (2021-08-02T17:19:59Z) - Quantum copy-protection of compute-and-compare programs in the quantum random oracle model [48.94443749859216]
We introduce a quantum copy-protection scheme for a class of evasive functions known as " compute-and-compare programs"
We prove that our scheme achieves non-trivial security against fully malicious adversaries in the quantum random oracle model (QROM)
As a complementary result, we show that the same scheme fulfils a weaker notion of software protection, called "secure software leasing"
arXiv Detail & Related papers (2020-09-29T08:41:53Z) - QTRAN++: Improved Value Transformation for Cooperative Multi-Agent
Reinforcement Learning [70.382101956278]
QTRAN is a reinforcement learning algorithm capable of learning the largest class of joint-action value functions.
Despite its strong theoretical guarantee, it has shown poor empirical performance in complex environments.
We propose a substantially improved version, coined QTRAN++.
arXiv Detail & Related papers (2020-06-22T05:08:36Z) - Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum
Computers [8.27274314036694]
Crosstalk is a major source of noise in Noisy Intermediate-Scale Quantum (NISQ) systems.
Our goal is to mitigate the application impact of crosstalk noise through software techniques.
arXiv Detail & Related papers (2020-01-09T04:00:03Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.