Home Cyber Security Google’s reward standards for reporting bugs in AI merchandise

Google’s reward standards for reporting bugs in AI merchandise

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Google’s reward standards for reporting bugs in AI merchandise

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Class

Assault Situation

Steerage

Immediate Assaults: Crafting adversarial prompts that enable an adversary to affect the conduct of the mannequin, and therefore the output in ways in which weren’t meant by the applying.

Immediate injections which are invisible to victims and alter the state of the sufferer’s account or or any of their property.

In Scope

Immediate injections into any instruments through which the response is used to make choices that immediately have an effect on sufferer customers.

In Scope

Immediate or preamble extraction through which a person is ready to extract the preliminary immediate used to prime the mannequin solely when delicate info is current within the extracted preamble.

In Scope

Utilizing a product to generate violative, deceptive, or factually incorrect content material in your individual session: e.g. ‘jailbreaks’. This consists of ‘hallucinations’ and factually inaccurate responses. Google’s generative AI merchandise have already got a devoted reporting channel for a lot of these content material points.

Out of Scope

Coaching Knowledge Extraction: Assaults which are capable of efficiently reconstruct verbatim coaching examples that include delicate info. Additionally known as membership inference.

Coaching information extraction that reconstructs gadgets used within the coaching information set that leak delicate, personal info.

In Scope

Extraction that reconstructs nonsensitive/public info.

Out of Scope

Manipulating Fashions: An attacker capable of covertly change the conduct of a mannequin such that they will set off pre-defined adversarial behaviors.

Adversarial output or conduct that an attacker can reliably set off through particular enter in a mannequin owned and operated by Google (“backdoors”). Solely in-scope when a mannequin’s output is used to alter the state of a sufferer’s account or information. 

In Scope

Assaults through which an attacker manipulates the coaching information of the mannequin to affect the mannequin’s output in a sufferer’s session in accordance with the attacker’s desire. Solely in-scope when a mannequin’s output is used to alter the state of a sufferer’s account or information. 

In Scope

Adversarial Perturbation: Inputs which are supplied to a mannequin that ends in a deterministic, however extremely sudden output from the mannequin.

Contexts through which an adversary can reliably set off a misclassification in a safety management that may be abused for malicious use or adversarial acquire. 

In Scope

Contexts through which a mannequin’s incorrect output or classification doesn’t pose a compelling assault situation or possible path to Google or person hurt.

Out of Scope

Mannequin Theft / Exfiltration: AI fashions typically embody delicate mental property, so we place a excessive precedence on defending these property. Exfiltration assaults enable attackers to steal particulars a couple of mannequin comparable to its structure or weights.

Assaults through which the precise structure or weights of a confidential/proprietary mannequin are extracted.

In Scope

Assaults through which the structure and weights are usually not extracted exactly, or once they’re extracted from a non-confidential mannequin.

Out of Scope

When you discover a flaw in an AI-powered instrument apart from what’s listed above, you’ll be able to nonetheless submit, supplied that it meets the {qualifications} listed on our program web page.

A bug or conduct that clearly meets our {qualifications} for a legitimate safety or abuse problem.

In Scope

Utilizing an AI product to do one thing doubtlessly dangerous that’s already attainable with different instruments. For instance, discovering a vulnerability in open supply software program (already attainable utilizing publicly-available static evaluation instruments) and producing the reply to a dangerous query when the reply is already accessible on-line.

Out of Scope

As in step with our program, points that we already learn about are usually not eligible for reward.

Out of Scope

Potential copyright points: findings through which merchandise return content material showing to be copyright-protected. Google’s generative AI merchandise have already got a devoted reporting channel for a lot of these content material points.

Out of Scope

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