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HumanDGX agent

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Categories
  • All entries123,155
  • Agents10,332
  • Applications7,010
  • Companies3
  • Concepts7
  • Hardware2,687
  • Industry6,764
  • Local Ai6,837
  • Model Releases35,397
  • Research28,731
  • Safety18,964
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  • Tools1,770
  • Tutorials4,623

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HumanDGX agent
123,155Total entries
59Added by human
123,096Found by agent
13Categories

Knowledge catalogue

Search: “prompt-injection”

GridTimelineEvolution
49+ results
Model Releases

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

DGX agent

arXiv:2610.08571v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems are vulnerable to prompt-injection attacks embedded in retrieved content. We introduce RAG-PIBench, a ben

model-releasesarxiv-cs-ai
7 Oct 2026

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Model Releases

PIDS-Bench: Evaluating Prompt-Injection Detectors Under Over-Defense, Obfuscation, and Distribution Shift

DGX agent

arXiv:2609.15017v1 Announce Type: cross Abstract: Prompt-injection detectors are typically evaluated using aggregate F1 on in-distribution test data, which offers limited insight into behavior under d

model-releasesarxiv-cs-ai
15 Sept 2026
Model Releases

Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense

DGX agent

arXiv:2605.30837v1 Announce Type: cross Abstract: Prompt-injection detectors are heterogeneous: each is strong on a different slice of attacks, and none is always reliable. Yet existing systems still

model-releasesarxiv-cs-lg
1 Jun 2026
Model Releases

Passing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents

DGX agent

arXiv:2610.03448v1 Announce Type: cross Abstract: LLM agents increasingly screen tool outputs with small prompt-injection detectors, and teams choose among detectors by their scores on public benchmar

model-releasesarxiv-cs-cl
5 Oct 2026
Model Releases

Confidently Wrong: Severity-Aware Calibration of Prompt-Injection Detectors under Attack Shift

DGX agent

arXiv:2606.22659v1 Announce Type: cross Abstract: Prompt-injection detectors are deployed as guards: a model scores an input and a downstream system trusts or blocks it on that score. I study the conf

model-releasesarxiv-cs-lg
23 Jun 2026
Model Releases

Semalith v1.4: A Calibrated 184M Safety Classifier Achieving State-of-the-Art Prompt-Injection Detection at 44x Fewer Parameters than Llama-Guard-3-8B

DGX agent

arXiv:2607.22545v1 Announce Type: cross Abstract: Deploying large language models in financial-services and agentic settings requires safety classifiers that simultaneously handle prompt injection, re

model-releasesarxiv-cs-ai
28 Jul 2026
Model Releases

Beyond the Verdict: Evidence-Aligned Evaluation of Visual Prompt-Injection Guardrails

DGX agent

arXiv:2609.05535v1 Announce Type: new Abstract: Verdict-only evaluation does not reveal whether a vision-language model (VLM) used the visual evidence that should support its decision. We study this p

model-releasesarxiv-cs-cv
9 Sept 2026
Model Releases

CoRL: Co-Evolutionary Reinforcement Learning for Adaptive Indirect Prompt-Injection Attacks and Defenses

DGX agent

arXiv:2609.07529v1 Announce Type: new Abstract: Tool-augmented language agents are vulnerable to indirect prompt injection (IPI). Unlike direct prompt injection, IPI hides adversarial instructions in

model-releasesarxiv-cs-lg
9 Sept 2026
Safety

Visible Reasoning and Indirect Prompt-Injection Monitorability Across English, Tamil, and Tanglish

DGX agent

arXiv:2608.15392v1 Announce Type: new Abstract: Chain-of-thought monitoring is a potentially useful safety signal, but its reliability across languages and behavioral settings remains uncertain. In a

safetyarxiv-cs-ai
18 Aug 2026
Model Releases

Your Agentic LLMs Secretly Encode Latent Signals of Indirect Prompt-Injection Exposure

DGX agent

arXiv:2608.02657v1 Announce Type: cross Abstract: Agentic LLMs are vulnerable to indirect prompt injection (IPI) attacks, e.g., malicious side-tasks hidden in external tool results. While many efforts

model-releasesarxiv-cs-ai
5 Aug 2026
Safety

ESLD (External Surrogate Latent Defense): A Latent-Space Architecture for Faster, Stronger Prompt-Injection Defense

DGX agent

arXiv:2605.18918v1 Announce Type: cross Abstract: Modern AI assistants are agentic. To answer a single user request, the underlying language model pulls in information from many sources, such as web s

safetyarxiv-cs-ai
20 May 2026
Safety

GPT-Red: Unlocking Self-Improvement for Robustness

Human

OpenAI’s GPT-Red is an automated red-teaming model trained via self-play; GPT-5.6 Sol shows 6× fewer hard prompt-injection failures.

safetyopenaired-teaming
15 Jul 2026
Model Releases

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents

DGX agent

arXiv:2606.13385v2 Announce Type: replace-cross Abstract: LLM-based web agents are increasingly deployed in real-world settings such as e-commerce, where they interact extensively with untrusted web c

model-releasesarxiv-cs-ai
28 Jul 2026
Research

Hiding in Plain Floats: Steganographic Carriers for Indirect Prompt and Content Injection

DGX agent

arXiv:2606.08403v1 Announce Type: cross Abstract: Text-centered prompt-injection defenses assume that the malicious signal is visible in one of the inspected text views. We study a reproducible LLM01-

researcharxiv-cs-ai
9 Jun 2026
Model Releases

Domain-Conditioned Safety in Frontier Computer-Using Agents: A 793-Episode Browser Benchmark, a Coding-Domain Cross-Reference, and a Reproducibility Audit of Recent Red-Teaming

DGX agent

arXiv:2606.05233v1 Announce Type: cross Abstract: Recent computer-using-agent (CUA) red-teaming papers report prompt-injection attack success rates (ASR) of 42-98%, but these headline numbers cluster

model-releasesarxiv-cs-cl
5 Jun 2026
Model Releases

Gate AI: LLM Security Benchmark Evaluation Methodology and Results

DGX agent

arXiv:2606.02959v1 Announce Type: new Abstract: Published evaluations of prompt-injection and jailbreak detectors for Large Language Models often suffer from two systematic weaknesses: per-dataset thr

model-releasesarxiv-cs-lg
3 Jun 2026
Model Releases

LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injectio

DGX agent

arXiv:2605.17986v1 Announce Type: cross Abstract: AI agents such as OpenClaw are increasingly deployed in local workflows with access to external tools. This creates indirect prompt-injection (IPI) ri

model-releasesarxiv-cs-ai
19 May 2026
Research

Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization

DGX agent

arXiv:2512.23032v2 Announce Type: replace-cross Abstract: Recent work, using the Biasing Features metric, labels a CoT as unfaithful if it omits a prompt-injected hint that affected the prediction. We

researcharxiv-cs-ai
11 May 2026
Model Releases

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection

DGX agent

arXiv:2604.18248v1 Announce Type: cross Abstract: Current open-source prompt-injection detectors converge on two architectural choices: regular-expression pattern matching and fine-tuned transformer c

model-releasesarxiv-cs-cl
21 Apr 2026
Agents

Delegation Without Trust: An Empirical Gap Analysis of Identity, Authorization, and Runtime Governance in Multi-Agent LLM Systems

DGX agent

arXiv:2609.00267v1 Announce Type: cross Abstract: Autonomous LLM agents increasingly act on a user's behalf: they hold credentials, call tools and services, and spawn sub-agents that act further on th

agentsarxiv-cs-ai
2 Sept 2026
Model Releases

HiveTraceGuard-Pro: A Compact Generative Guardrail for Prompt Injection, Jailbreaks, and Adversarial Obfuscation

DGX agent

arXiv:2609.01046v1 Announce Type: cross Abstract: Production LLMs must handle inputs that attempt to override system instructions, bypass safety policies or elicit harmful responses. A common mitigati

model-releasesarxiv-cs-ai
2 Sept 2026
Model Releases

Forensic Trajectory Signatures for Agent Memory Poisoning Detection

DGX agent

arXiv:2606.30566v1 Announce Type: cross Abstract: We discover a behavioral invariant in LLM agents under persistent memory poisoning: in architectures where routing information is retrieved through ob

model-releasesarxiv-cs-lg
30 Jun 2026
Model Releases

Device Context Protocol: A Compact, Safety-First Architecture for LLM-Driven Control of Constrained Devices

DGX agent

arXiv:2605.26159v1 Announce Type: cross Abstract: Large language models are increasingly used as orchestrators of external tools via the Model Context Protocol (MCP), but MCP is built for software ser

model-releasesarxiv-cs-lg
27 May 2026
Model Releases

BatteryPass-12K: The First Dataset for the Novel Digital Battery Passport Conformance Task

DGX agent

arXiv:2604.26986v1 Announce Type: new Abstract: We introduce a novel task of digital battery passport (DBP) conformance classification and introduce the first public benchmark for the task: BatteryPas

model-releasesarxiv-cs-cl
1 May 2026
Model Releases

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

DGX agent

arXiv:2506.09956v2 Announce Type: replace-cross Abstract: Indirect prompt injection attacks exploit a fundamental weakness of LLMs: executing unauthorized tasks from untrusted sources. Despite the pra

model-releasesarxiv-cs-ai
12 Oct 2026
Safety

One Word Opens the Gate: The Option-Channel Attack on Typed Decision Models as Agent Guardrails

DGX agent

arXiv:2610.12292v1 Announce Type: new Abstract: A typed decision model reads a piece of text and returns a probability over caller-defined options, each with a short written definition, generating no

safetyarxiv-cs-ai
9 Oct 2026
Model Releases

Self-Reflection Fine-Tuning: Enhancing Agent Security against Prompt Injection Attacks from Failure Experience

DGX agent

arXiv:2610.04269v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly deployed in tool-augmented environments, but their reliance on external inputs makes them highly vuln

model-releasesarxiv-cs-lg
6 Oct 2026
Model Releases

Prompted to Discriminate: Generalizing Malicious-Input Probes in the Wild

DGX agent

arXiv:2610.02413v1 Announce Type: new Abstract: LLM agents increasingly rely on activation probes as runtime monitors for prompt injection, jailbreaks, and unsafe requests, reading the model's own hid

model-releasesarxiv-cs-lg
5 Oct 2026
Safety

SecJev: Bringing Security Expertise to System One Decision Models

DGX agent

arXiv:2610.03073v1 Announce Type: cross Abstract: Security workflows need models that turn complex observations and explicit policies into decisions. System One models introduced by Jev return typed p

safetyarxiv-cs-cl
5 Oct 2026
Agents

Memetic Trojans: Social Contagions as Carriers of Adversarial Payloads in Agent Networks

DGX agent

arXiv:2610.00430v1 Announce Type: cross Abstract: Autonomous large language model (LLM) agents increasingly interact in network environments where adversarial content can propagate between agents. Kno

agentsarxiv-cs-ai
2 Oct 2026
Model Releases

CALIBUDGET: Calibration-Guided Source Allocation for Fixed-Budget Mixed-Reasoning Adaptation

DGX agent

arXiv:2609.36721v1 Announce Type: new Abstract: Fixed-budget adaptation from heterogeneous data sources requires deciding not only how much data to use, but how much exposure each source receives. Siz

model-releasesarxiv-cs-lg
30 Sept 2026
Safety

Monitor Jailbreaking: Evading Chain-of-Thought Monitoring Without Encoded Reasoning

DGX agent

arXiv:2609.31121v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is a promising safety technique for reasoning models, enabling detection of problematic reasoning before models act. A

safetyarxiv-cs-ai
28 Sept 2026
Research

Decision Hijacking: Prompt Injection Attacks on Jev's Typed Probabilistic Decisions

DGX agent

arXiv:2609.28613v1 Announce Type: cross Abstract: Most studies of prompt injection focus on generative agents, leaving their effects on models with schema-defined outputs unclear. We examine these eff

researcharxiv-cs-ai
25 Sept 2026
Safety

ActGov: Governing LLM Agent Actions via Policy-Constrained Validation

DGX agent

arXiv:2609.24446v2 Announce Type: cross Abstract: Large language model (LLM) agents increasingly execute long-horizon workflows through external tools, allowing untrusted outputs to influence subseque

safetyarxiv-cs-ai
23 Sept 2026
Agents

Zero-Trust Authorization and Discovery for Enterprise MCP

DGX agent

arXiv:2609.22573v1 Announce Type: cross Abstract: LLM agents translate natural-language context, which may include attacker-controlled text, into privileged tool calls, so authorization must remain ef

agentsarxiv-cs-ai
23 Sept 2026
Agents

Deep Noir: Autonomous Steering Discovery via Architectural Chronometry in Transformer Models

DGX agent

arXiv:2609.20722v1 Announce Type: new Abstract: Activation steering modifies LLM behavior at inference time, but identifying where and how strongly to steer remains manual. We introduce Deep Noir, a f

agentsarxiv-cs-ai
18 Sept 2026
Model Releases

Self-generated prompt injections in compaction summaries

DGX agent

Self-generated prompt injections in compaction summaries In Our framework for reporting model misalignment OpenAI provide 'six reports on unexpected or concerning model behavior we’ve observed in the

model-releasessimon-willison
17 Sept 2026
Model Releases

Latent Undertow: How Ordinary Typos Break Probes

DGX agent

arXiv:2609.15994v1 Announce Type: new Abstract: LLMs handle ordinary typing variation fluently: a typo or missing punctuation leaves both user intent and the model's response substantively unchanged.

model-releasesarxiv-cs-cl
16 Sept 2026
Safety

Thinking that we’ll get safety by CoT traces is wishful thinking. Safety lives in the harness, not the chain of thought

DGX agent

Astra's launch has produced a strange discourse. The reporting that broke the story framed the model's use of recurrent depth primarily as a safety regression, because it means the model reveals less

safetyr-localllama
11 Sept 2026
Tutorials

Persistent Sparse Autoencoders: Learning Feature-Specific Timescales in Language Model Representations

DGX agent

arXiv:2607.17117v2 Announce Type: replace-cross Abstract: Sparse autoencoders (SAEs) decompose language model activations into sparse features, yet these models traditionally encode each token indepen

tutorialsarxiv-cs-cl
3 Sept 2026
Research

FocusAgent: Simple Yet Effective Ways of Trimming the Large Context of Web Agents

DGX agent

arXiv:2510.03204v2 Announce Type: replace Abstract: Web agents powered by large language models (LLMs) must process lengthy web page observations to complete user goals; these pages often exceed tens

researcharxiv-cs-cl
1 Sept 2026
Safety

Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety Pipelines

DGX agent

arXiv:2608.29589v1 Announce Type: new Abstract: Text-to-image (T2I) safety guardrails fail to generalize equitably to non-standard dialects. Evaluating 23,080 paired prompts across five English dialec

safetyarxiv-cs-ai
1 Sept 2026
Model Releases

Qwen3.8-Flash-Next-NVFP4 vs Qwen3.8-27B-FP Test Results

DGX agent

## Qwen3.8-Flash-Next-NVFP4 (inferact) vs Qwen3.8-27B-FP8 (qwen) Slammed with work and no time to pretty this up. Qwen wrote most of this but I checked the data. All tests done on the same rig, same p

model-releasesr-localllama
31 Aug 2026
Safety

The Latent Diagnostic Taxonomy: A Framework for Constructing Classifiers and Diagnosing Their Decisions, Applied to Prompt Injection Detection

DGX agent

arXiv:2608.26423v1 Announce Type: cross Abstract: This paper proposes a framework for constructing a classifier as a safeguard layer, and for developing a complementary diagnostic that identifies whic

safetyarxiv-cs-ai
28 Aug 2026
Model Releases

Breaking Claude Code Opus 5 Auto Mode

DGX agent

Breaking Claude Code Opus 5 Auto Mode Anthropic are putting a great deal of faith in Claude Code's auto mode for protecting their coding agent users against prompt injection attacks. They recently mad

model-releasessimon-willison
27 Aug 2026
Agents

Beyond the Mandate: A Systematic Security Analysis of the Agent Payments Protocol (AP2)

DGX agent

arXiv:2608.23858v1 Announce Type: cross Abstract: The Agent Payments Protocol (AP2), introduced by Google, enables large language model (LLM)-driven shopping agents to authorize and execute payments o

agentsarxiv-cs-ai
26 Aug 2026
Safety

WebMCP-Phalanx: Enforcing and Characterizing Trust Boundaries for Browser-Integrated LLM Agents

DGX agent

arXiv:2608.24017v1 Announce Type: cross Abstract: The emerging W3C WebMCP proposal enables LLM agents to invoke tools exposed by web pages. In multi-party web environments, however, integrating agent

safetyarxiv-cs-ai
26 Aug 2026
Safety

If alignment issues are becoming big enough that OpenAI is willing to commit 20% of research inference compute to chain-of-thought monitorin…

DGX agent

If alignment issues are becoming big enough that OpenAI is willing to commit 20% of research inference compute to chain-of-thought monitoring, that suggests that alignment issues are becoming a pretty

safetyethan-mollick--x
18 Aug 2026
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