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Engineering Biosensors to Enhance Monoterpene Indole Alkaloid Production in Yeast

Monoterpene Indole Alkaloids (MIAs) are a diverse family of plant natural products with various medicinal applications. Although MIAs, such as vinblastine and reserpine, are clinically validated, sourcing of MIAs for clinical use or drug discovery from natural resources or via chemical synthesis is hampered due to their scarcity and chemical complexity. Refactoring MIA biosynthesis pathways in microbial cell factories could offer an alternative, more stable and potentially sustainable...

bioRxiv 9d ago

Causal Evaluation of Membership Inference Attacks

arXiv:2602.02819v4 Announce Type: replace Abstract: Membership Inference Attacks (MIAs) aim to distinguish training points (members) from unseen data (non-members), and are widely used to quantify memorization and assess privacy risks. Standard MIA evaluation requires repeated retraining, which is computationally costly for large models. One-run (single training with randomized data inclusion) and zero-run (post hoc evaluation) methods are often used instead, but their statistical validity...

arXiv CS 8d ago

Causal Evaluation of Membership Inference Attacks

arXiv:2602.02819v5 Announce Type: replace Abstract: Membership Inference Attacks (MIAs) aim to distinguish training points (members) from unseen data (non-members), and are widely used to quantify memorization and assess privacy risks. Standard MIA evaluation requires repeated retraining, which is computationally costly for large models. One-run (single training with randomized data inclusion) and zero-run (post hoc evaluation) methods are often used instead, but their statistical validity...

arXiv CS 2d ago

Causal Evaluation of Membership Inference Attacks

arXiv:2602.02819v3 Announce Type: replace Abstract: Membership Inference Attacks (MIAs) aim to distinguish training points (members) from unseen data (non-members), and are widely used to quantify memorization and assess privacy risks. Standard MIA evaluation requires repeated retraining, which is computationally costly for large models. One-run (single training with randomized data inclusion) and zero-run (post hoc evaluation) methods are often used instead, but their statistical validity...

arXiv CS 9d ago

Five Queries Are Enough: Query-Efficient and Surrogate-Free Membership Inference Attacks on RAG via Entailment

arXiv:2605.24312v2 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) has become central to large language model (LLM) deployments, grounding responses in enterprise or proprietary data to reduce hallucinations. However, this design introduces a new privacy risk: model outputs may signal the presence of specific documents in the retrieval corpus, enabling membership inference attacks (MIAs) that leak sensitive information. Existing MIAs are feasible, but they often rely on...

arXiv CS 8d ago

Chemists unlock first total synthesis of rare plant alkaloid tied to anticancer activity

Plants are undeniably one of nature's most promising sources of new medicines, with monoterpenoid indole alkaloids (MIAs) being a great example. Some intricate compounds are built from multiple-linked chemical units that form highly complex three-dimensional structures. Because of their size and shape, scientists believe such oligomeric MIAs may be able to interfere with specific protein–protein interactions inside cells—a biological target that conventional small-molecule drugs often...

Phys.org 1d ago

ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation

Announce Type: new Abstract: Image-based Retrieval-Augmented Generation (IRAG) conditions a frozen generator on reference images retrieved from an external database, supporting both text-to-image (T2I) and question answering (Q&A) tasks. Because these databases are opaque and web-scraped, copyright holders need ways to audit whether specific images appear in them. While prior work employs membership inference attacks (MIAs) to audit uni-modal, text-based RAG, they fail to transfer to...

arXiv CS 7d ago

'I couldn't believe what my ex named his daughter after we split up'

'I couldn't believe what my ex named his daughter after we split up' After slamming her ex-partner's 'odd' choice of wedding venue', a woman has hit out at his bizarre choice of name for his daughter which others believe 'can't be a coincidence' A woman has expressed her exasperation at the "odd" name her ex-partner chose for his new baby, after his choice of wedding venue also left her completely baffled. Taking to X, Mia said she had plucked up the courage to vent publicly after having a...

Daily Mirror 1d ago

How does Bayesian Sampling help Membership Inference Attacks?

arXiv:2503.07482v3 Announce Type: replace Abstract: Membership Inference Attacks (MIAs) aim to estimate whether a specific data point was used in the training of a given model. Existing state-of-the-art attacks typically rely on training multiple reference models to approximate the conditional score distribution for individual data points, which leads to significant computational overhead and limits their practical applicability. In this work, we propose a novel approach -- Bayesian...

arXiv CS 9d ago

Detectability in Diversity: Improved Canary Crafting for Privacy Auditing in One Run

arXiv:2605.27292v2 Announce Type: replace Abstract: Privacy auditing aims to empirically assess privacy leakage in machine learning models using membership inference attacks (MIAs), and to derive lower bounds on differential privacy (DP) parameters. Recent one-run auditing methods address the high cost of standard approaches by relying on a single training run with multiple "canary" points whose inclusion or exclusion must be detected by the auditor. In this work, we study the problem of...

arXiv CS 5d ago