Related papers: Automated Hardware Logic Obfuscation Framework Using GPT

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ObfAx: Obfuscation and IP Piracy Detection in Approximate Circuits [0.05156484100374057]
This work addresses the emerging challenge of IP protection and piracy detection in the context of approximate hardware.<n>We introduce a novel adversarial threat model, approximate obfuscation, in which an attacker conceals the design through structural obfuscation.<n>We propose an automated framework that extracts and compares statistical error profiles of protected IP cores and suspicious circuits.
arXiv Detail & Related papers (2026-05-11T11:01:49Z)
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We introduce SecureForge, an automated pipeline that audits security risks of frontier models and produces auditing-informed secure system prompts.<n>SecureForge first identifies benign prompts that produce statically detectable vulnerabilities, and then amplifies them into a large synthetic prompt corpus of diverse scenarios.<n>On frontier models, SecureForge yields a statistically significant improvement in both unit test success and output security, with output vulnerabilities reduced by up to 48%.
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Hardware intellectual property (IP) in the globalized integrated circuit supply chain is exposed to a wide range of confidentiality and integrity attacks.<n>Existing IP-level countermeasures, such as logic locking, hardware obfuscation, camouflaging, and redaction, have aimed at addressing these attacks.<n>We present CIPHR, a robust fine-grain hardware redaction methodology inspired by the cryptographic property of indistinguishability.
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Zero-shot image-to-image generation poses substantial risks related to intellectual property violations.<n>This work presents Adapter Shield, the first universal and authentication-integrated solution aimed at defending personal images from misuse.<n>Our method surpasses existing state-of-the-art defenses in blocking unauthorized zero-shot image synthesis.
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arXiv Detail & Related papers (2025-07-30T13:36:52Z)
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Despite Etherscan's 78,047,845 smart contracts deployed on (as of May 26, 2025), a mere 767,520 ( 1%) are open source.<n>This opacity necessitates the automated semantic analysis of on-chain smart contract bytecode.<n>We introduce a pioneering decompilation pipeline that transforms bytecode into human-readable and semantically faithful Solidity code.
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arXiv Detail & Related papers (2025-02-18T15:48:46Z)
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Existing countermeasures for hardware IP protection, such as obfuscation, camouflaging, and redaction, aim to defend against confidentiality and integrity attacks. Within the current threat model, these techniques overlook the potential risks posed by a highly skilled adversary with privileged access to the IC supply chain. We introduce Library-Attack, a novel reverse engineering technique that leverages privileged design information and prior knowledge of security countermeasures to recover sensitive hardware IP.
arXiv Detail & Related papers (2025-01-21T17:01:18Z)
Secure Semantic Communication With Homomorphic Encryption [52.5344514499035]
This paper explores the feasibility of applying homomorphic encryption to SemCom. We propose a task-oriented SemCom scheme secured through homomorphic encryption.
arXiv Detail & Related papers (2025-01-17T13:26:14Z)
Turning Logic Against Itself : Probing Model Defenses Through Contrastive Questions [51.51850981481236]
We introduce POATE, a novel jailbreak technique that harnesses contrastive reasoning to provoke unethical responses. PoATE crafts semantically opposing intents and integrates them with adversarial templates, steering models toward harmful outputs with remarkable subtlety. To counter this, we propose Intent-Aware CoT and Reverse Thinking CoT, which decompose queries to detect malicious intent and reason in reverse to evaluate and reject harmful responses.
arXiv Detail & Related papers (2025-01-03T15:40:03Z)
Jailbreaking as a Reward Misspecification Problem [80.52431374743998]
We propose a novel perspective that attributes this vulnerability to reward misspecification during the alignment process. We introduce a metric ReGap to quantify the extent of reward misspecification and demonstrate its effectiveness. We present ReMiss, a system for automated red teaming that generates adversarial prompts in a reward-misspecified space.
arXiv Detail & Related papers (2024-06-20T15:12:27Z)
RTL Interconnect Obfuscation By Polymorphic Switch Boxes For Secure Hardware Generation [0.0]
We present an interconnect obfuscation scheme at the Register-Transfer Level (RTL) using Switch Boxes (SBs) constructed of Polymorphic Transistors. A polymorphic SB can be designed using the same transistor count as its Complementary-Metal-Oxide-Semiconductor based counterpart.
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CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models [49.60006012946767]
We propose CodeChameleon, a novel jailbreak framework based on personalized encryption tactics. We conduct extensive experiments on 7 Large Language Models, achieving state-of-the-art average Attack Success Rate (ASR) Remarkably, our method achieves an 86.6% ASR on GPT-4-1106.
arXiv Detail & Related papers (2024-02-26T16:35:59Z)
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing [107.97160023681184]
Aligned large language models (LLMs) are vulnerable to jailbreaking attacks. We propose SEMANTICSMOOTH, a smoothing-based defense that aggregates predictions of semantically transformed copies of a given input prompt.
arXiv Detail & Related papers (2024-02-25T20:36:03Z)
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment [56.2017039028998]
Fine-tuning of Language-Model-as-a-Service (LM) introduces new threats, particularly against the Fine-tuning based Jailbreak Attack (FJAttack) We propose the Backdoor Enhanced Safety Alignment method inspired by an analogy with the concept of backdoor attacks. Our comprehensive experiments demonstrate that through the Backdoor Enhanced Safety Alignment with adding as few as 11 safety examples, the maliciously finetuned LLMs will achieve similar safety performance as the original aligned models without harming the benign performance.
arXiv Detail & Related papers (2024-02-22T21:05:18Z)
HOACS: Homomorphic Obfuscation Assisted Concealing of Secrets to Thwart Trojan Attacks in COTS Processor [0.6874745415692134]
We propose a software-oriented countermeasure to ensure the confidentiality of secret assets against hardware Trojans. The proposed solution does not require any supply chain entity to be trusted and does not require analysis or modification of the IC design. We have implemented the proposed solution to protect the secret key within the Advanced Encryption Standard (AES) program and presented a detailed security analysis.
arXiv Detail & Related papers (2024-02-15T04:33:30Z)
Secure Synthesis of Distributed Cryptographic Applications (Technical Report) [1.9707603524984119]
We advocate using secure program partitioning to synthesize cryptographic applications. This approach is promising, but formal results for the security of such compilers are limited in scope. We develop a compiler security proof that handles subtleties essential for robust, efficient applications.
arXiv Detail & Related papers (2024-01-06T02:57:44Z)
Performance-lossless Black-box Model Watermarking [69.22653003059031]
We propose a branch backdoor-based model watermarking protocol to protect model intellectual property. In addition, we analyze the potential threats to the protocol and provide a secure and feasible watermarking instance for language models.
arXiv Detail & Related papers (2023-12-11T16:14:04Z)
Code Polymorphism Meets Code Encryption: Confidentiality and Side-Channel Protection of Software Components [0.0]
PolEn is a toolchain and a processor architecturethat combine countermeasures in order to provide an effective mitigation of side-channel attacks. Code encryption is supported by a processor extension such that machineinstructions are only decrypted inside the CPU. Code polymorphism is implemented by software means. It regularly changes the observablebehaviour of the program, making it unpredictable for an attacker.
arXiv Detail & Related papers (2023-10-11T09:16:10Z)
A Novel Approach to Identify Security Controls in Source Code [4.598579706242066]
This paper enumerates a comprehensive list of commonly used security controls and creates a dataset for each one of them. It uses the state-of-the-art NLP technique Bidirectional Representations from Transformers (BERT) and the Tactic Detector from our prior work to show that security controls could be identified with high confidence.
arXiv Detail & Related papers (2023-07-10T21:14:39Z)
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness [58.23214712926585]
We develop a certified defense, DRSM (De-Randomized Smoothed MalConv), by redesigning the de-randomized smoothing technique for the domain of malware detection. Specifically, we propose a window ablation scheme to provably limit the impact of adversarial bytes while maximally preserving local structures of the executables. We are the first to offer certified robustness in the realm of static detection of malware executables.
arXiv Detail & Related papers (2023-03-20T17:25:22Z)

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