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IACR Communications in Cryptology

A Note on Obfuscation-Based Attacks on Private-Coin Evasive LWE

Tzu-Hsiang Huang, Wei-Hsiang Hung, Shota Yamada

Published Jan 8, 2026• 2 citations
Publisher

Abstract

The evasive learning with errors (evasive LWE) assumption is a new assumption recently introduced by Wee [Wee22] and Tsabary [Tsa22] independently, as a significant strengthening of the standard LWE assumption. While the assumption is known to imply various strong primitives including witness encryption [Tsa22, VWW22], the assumption in the most general case (i.e., the private coin variant) is considered quite implausible due to the obfuscation based attack mentioned in [Wee22]. This obfuscation based attack is then later formalized by Vaikuntanathan, Wee, and Wichs [VWW22]. In this note, we revisit their attack and show that the attack actually does not work by showing a concrete counterexample. While various attacks against private-coin evasive LWE are now known, the attack of [VWW22] is the only one that applies in the setting where the sampler is oblivious to the LWE secret, which we call the S-oblivious regime. Therefore, our refutation closes the only known avenue for attacking the assumption in the S-oblivious regime. To complement the above refutation of this attack, we also present a variant of the counterexample assuming the existence of instance-hiding witness encryption. However, our sampler is not S-oblivious, and thus we do not fully recover the attack considered in [VWW22]. Taken together, these results indicate that the security of private-coin evasive LWE in the S-oblivious regime remains open.

DOI
10.62056/a39qudy6b

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The evasive learning with errors (evasive LWE) assumption is a new assumption recently introduced by Wee [Wee22] and Tsabary [Tsa22] independently, as a significant strengthening of the standard LWE assumption. While the assumption is known to imply various strong primitives including witness encryption [Tsa22, VWW22], the assumption in the most general case (i.e., the private coin variant) is considered quite implausible due to the obfuscation based attack mentioned in [Wee22]. This obfuscation based attack is then later formalized by Vaikuntanathan, Wee, and Wichs [VWW22]. In this note, we revisit their attack and show that the attack actually does not work by showing a concrete counterexample. While various attacks against private-coin evasive LWE are now known, the attack of [VWW22] is the only one that applies in the setting where the sampler is oblivious to the LWE secret, which we call the S-oblivious regime. Therefore, our refutation closes the only known avenue for attacking the assumption in the S-oblivious regime. To complement the above refutation of this attack, we also present a variant of the counterexample assuming the existence of instance-hiding witness encryption. However, our sampler is not S-oblivious, and thus we do not fully recover the attack considered in [VWW22]. Taken together, these results indicate that the security of private-coin evasive LWE in the S-oblivious regime remains open.
We show that the Evasive Inner Product Functional Encryption assumption introduced by Hsieh, Lin and Luo (Eurocrypt 2024) is false in its full generality. Our counterexample adds to a long sequence of works that have attacked different variants of Evasive LWE, taking down another instance that has been considered “public coin” (and hence safe) in the literature. Our attack extends the counterexample against pseudorandom functional encryption (PRFE), developed by Agrawal, Modi, Yadav and Yamada (TCC 2025) to encompass the notion of Evasive Inner Product Functional Encryption (evIPFE) proposed by Hsieh, Lin and Luo (Eurocrypt 2024). The original attack relied crucially on the underlying functional encryption scheme being powerful enough to compute pseudorandom functions; our attack shows, perhaps surprisingly, that the much weaker “evasive” inner product functionality suffices to mount the attack. We interpret our attack as showing that even the slightest power given to the adversary in choosing unrestricted private coins in the evasive LWE family of assumptions, renders it insecure.
The Learning With Errors (LWE) problem asks to find ‍s from an input of the form (A, b = As+e) ∈ (ℤ/qℤ)m × n × (ℤ/qℤ)m, for a vector ‍e that has small-magnitude entries. In this work, we do not focus on solving ‍LWE but on the task of sampling instances. As these are extremely sparse in their range, it may seem plausible that the only way to proceed is to first create ‍s and ‍e and then set ‍b = As+e. In particular, such an instance sampler knows the solution. This raises the question whether it is possible to obliviously sample (A, As+e), namely, without knowing the underlying ‍s. A variant of the assumption that oblivious ‍LWE sampling is hard has been used in a series of works to analyze the security of candidate constructions of Succinct Non-interactive Arguments of Knowledge (SNARKs). As the assumption is related to ‍LWE, these SNARKs have been conjectured to be secure in the presence of quantum adversaries.
Since its proposal by Regev in 2005, the Learning With Errors (LWE) problem was used as the underlying problem for a great variety of schemes. Its applications are many-fold, reaching from basic and highly practical primitives like key exchange, public-key encryption, and signature schemes to very advanced solutions like fully homomorphic encryption, group signatures, and identity based encryption. One of the underlying reasons for this fertility is the flexibility with that LWE can be instantiated. Unfortunately, this comes at a cost: It makes selecting parameters for cryptographic applications complicated. When selecting parameters for a new LWE-based primitive, a researcher has to take the influence of several parameters on the efficiency of the scheme and the runtime of a variety of attacks into consideration. In fact, the missing trust in the concrete hardness of LWE is one of the main problems to overcome to bring LWE-based schemes to practice. This thesis aims at closing the gap between the theoretical knowledge of the hardness of LWE, and the concrete problem of selecting parameters for an LWE-based scheme. To this end, we analyze the existing methods to estimate the hardness of LWE, and introduce new estimation techniques where necessary. Afterwards, we show how to transfer this knowledge into instantiations that are at the same time secure and efficient. We show this process on three examples: - A highly optimized public-key encryption scheme for embedded devices that is based on a variant of Ring-LWE. - A practical signature scheme that served as the foundation of one of the best lattice-based signature schemes based on standard lattices. - An advanced public-key encryption scheme that enjoys the unique property of natural double hardness based on LWE instances similar to those used for fully homomorphic encryption.
Abstract. The Learning with Errors (LWE) problem has gained a lot of attention in recent years leading to a series of new cryptographic applications. Specifically, it states that it is hard to distinguish random linear equations disguised by some small error from truly random ones. Interestingly, cryptographic primitives based on LWE often do not exploit the full potential of the error term beside of its importance for security. To this end, we introduce a novel LWE-close assumption, namely Augmented Learning with Errors (A-LWE), which allows to hide auxiliary data injected into the error term by a technique that we call message embedding. In particular, it enables existing cryptosystems to strongly increase the message throughput per ciphertext. We show that A-LWE is for certain instantiations at least as hard as the LWE problem. This inherently leads to new cryptographic constructions providing high data load encryption and customized security properties as required, for instance, in economic environments such as stock markets resp. for financial transactions. The security of those constructions basically stems from the hardness to solve the A-LWE problem. As an application we introduce (among others) the first lattice-based replayable chosen-ciphertext secure encryption scheme from A-LWE.
Abstract In this paper, we construct multi-key homomorphic and fully homomorphic encryption (resp. MKHE and MKFHE) schemes with malicious circuit privacy. Our schemes are based on learning with errors (LWE) besides appropriate circular security assumptions. In contrast, the previous maliciously circuit-private MKFHE scheme by Chongchitmate and Ostrovsky (PKC, 2017) is based on the non-standard decisional small polynomial ratio (DSPR) assumption with a super-polynomial modulus, besides ring learning with errors and circular security assumptions. We note that it was shown by Albrecht et al. (CRYPTO, 2016) that there exists a sub-exponential time attack against this type of DSPR assumption. The main building block of our maliciously circuit-private MKFHE scheme is a (plain) MKFHE scheme by Brakerski et al. (TCC, 2017), and the security of our schemes is proven under the hardness of LWE with sub-exponential modulus-to-noise ratio and circular security assumptions related to the Brakerski et al. scheme. Furthermore, based on our MKFHE schemes, we construct four-round multi-party computation (MPC) protocols with circuit privacy against a semi-honest server and malicious clients in the plain model. The protocols are obtained by combining our schemes with a maliciously sender-private oblivious transfer protocol and a circuit garbling scheme, all of which can be instantiated only assuming LWE.