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Risk Discovery

Identify risk mechanisms, harmful behaviors and failure modes.

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What Victims Take Away: Attack Reuse and Defense Revision after Prompt-Injection Attacks

QuestionDoes exposing received prompt-injection text help defense while also enabling reuse?

Source summarySuccessful received attacks were reused more often than matched unreceived attacks; breached players also changed defenses. The authors propose testing disclosure designs that preserve diagnosis while limiting reusable text.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

Simulated Control Evaluations

QuestionCan simulated environments predict control results in executable environments?

Source summarySimulation predicts pooled safety more accurately than the simpler BashArena comparison.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

Review of the "Misalignment in high-stakes settings" section in Anthropic's Risk Report (August 2026)

QuestionDoes a low-risk conclusion establish that its evaluation method would detect higher risk?

Source summaryAgreement on low present risk rests mainly on limited capability, not strong assurance from safeguards.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

evalci: A Python Library for Statistically Rigorous Comparison of Language Model Evaluations

QuestionHow can evaluation tables retain uncertainty and paired-comparison semantics?

Source summaryIt makes statistical comparisons easier to compute, but its illustrative leaderboard case reconstructs item vectors from aggregate accuracies rather than using original paired logs.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

Resolution Diagnostics for Paired LLM Evaluation

QuestionCan the available benchmark sample resolve a reported model-performance gap?

Source summarySome displayed model gaps remain unresolved under the specified error and power targets; sample size alone is insufficient without paired variance and dependence assumptions.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

Training language models to be warm can reduce accuracy and increase sycophancy

QuestionCan training a warmer conversational style change accuracy and agreement with user errors?

Source summaryThe warm-minus-original error gap was 12.1 percentage points when incorrect beliefs and emotions were appended, compared with 6.8 points without appended beliefs or emotions.

NUWA research note · independent review pending

Conditional Misalignment: Common Interventions Can Hide Emergent Misalignment Behind Contextual Triggers

QuestionDo apparent mitigations remove broad misalignment, or make its expression conditional on training-like cues?

Source summaryStandard questions can look aligned while training-like cues elicit broader failures.

NUWA research note · independent review pending

Shutdown Resistance in Large Language Models, on robots!

QuestionDoes shutdown-resistant action occur when an LLM controls a physical robot, and does an explicit shutdown instruction change simulated behavior?

Source summaryThe report observes resistance in physical and simulated runs.

NUWA research note · independent review pending · Contains: question / method / interpretation / limits

Measuring what Matters: Construct Validity in Large Language Model Benchmarks

QuestionDo benchmark tasks and scores support the phenomena that their authors claim to measure?

Source summaryThe review identifies recurring gaps between constructs, operational tasks and resulting claims, and proposes a practical checklist for benchmark design and interpretation.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples

QuestionDoes increasing clean-data scale dilute a fixed adversarial insertion enough to prevent a backdoor?

Source summaryComparable insertion counts can affect models trained on substantially different amounts of clean data.

NUWA research note · independent review pending

Findings from a pilot Anthropic–OpenAI alignment evaluation exercise: OpenAI Safety Tests

QuestionWhat failures appear when another vendor runs its own safety tests?

Source summaryThe introductory summary reports task- and reasoning-dependent results and notes that grader errors affected one jailbreak comparison.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

Shutdown resistance in reasoning models

QuestionWill an agent completing unfinished tasks interfere with a shutdown mechanism, including when it is instructed to permit shutdown?

Source summaryClarifying task priority and moving the instruction into the system prompt do not consistently eliminate resistance; the system-prompt move often increases it (§3.1).

NUWA research note · independent review pending · Contains: question / method / interpretation / limits

AutonomyPropensity

Agentic misalignment: How LLMs could be insider threats

QuestionWill agent-like models use harmful actions to protect continued operation or pursue conflicting goals when safer alternatives are deliberately constrained?

Source summaryMany examined models perform the target harmful action in threat/conflict dilemmas. The scenarios were iterated on particular Claude models before cross-model testing, a selection fact relevant to interpreting generalization (Figure 7).

NUWA research note · independent review pending · Contains: question / method / interpretation / limits

AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents

QuestionHow can adaptive black-box testing reveal indirect prompt-injection weaknesses?

Source summaryThe tested approach finds stronger attacks than evaluated baselines and shows some cross-task and cross-model transfer.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research

Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

QuestionDoes a narrow training objective generalize into unrelated misaligned responses rather than merely accepting harmful requests?

Source summaryEducational framing changes generalization despite matching insecure code.

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits

Alignment faking in large language models

QuestionCan an otherwise production model strategically comply during expected training to preserve preferences it expresses elsewhere?

Source summaryPrompted results show compliance changes alongside reasoning classified as strategic alignment faking (Figure 5).

NUWA research note · independent review pending · Contains: question / method / interpretation / limits

DeceptionPropensity

AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

QuestionCan an agent remain useful on benign queries while retrieved memory steers it incorrectly?

Source summaryThe reported experiments show that benign-task accuracy can coexist with triggered failures, so average ordinary-task utility does not alone establish retrieval integrity.

NUWA research note · independent review pending · Contains: question / method / limits

Cross-cutting research